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NIPS*2005
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| Learning vehicular dynamics, with application to modeling helicopters Pieter Abbeel, Varun Ganapathi, Andrew Ng [ps.gz][pdf][bibtex] Policy-Gradient Methods for Planning Douglas Aberdeen [ps.gz][pdf][bibtex] Kernelized Infomax Clustering Felix Agakov, David Barber [ps.gz][pdf][bibtex] Large-scale biophysical parameter estimation in single neurons via constrained linear regression Misha Ahrens, Quentin Huys, Liam Paninski [ps.gz][pdf][bibtex] Maximum Margin Semi-Supervised Learning for Structured Variables Yasemin Altun, David McAllester, Mikhail Belkin [ps.gz][pdf][bibtex] Large scale networks fingerprinting and visualization using the k-core decomposition J. Ignacio Alvarez-Hamelin, Luca DallAsta, Alain Barrat, Alessandro Vespignani [ps.gz][pdf][bibtex] Fast Information Value for Graphical Models Brigham Anderson, Andrew Moore [ps.gz][pdf][bibtex] A Cortically-Plausible Inverse Problem Solving Method Applied to Recognizing Static and Kinematic 3D Objects David Arathorn [ps.gz][pdf][bibtex] Combining Graph Laplacians for Semi--Supervised Learning Andreas Argyriou, Mark Herbster, Massimilano Pontil [ps.gz][pdf][bibtex] Learning in Silicon: Timing is Everything John Arthur, Kwabena Boahen [ps.gz][pdf][bibtex] Learning Topology with the Generative Gaussian Graph and the EM Algorithm Michaël Aupetit [ps.gz][pdf][bibtex] On Local Rewards and Scaling Distributed Reinforcement Learning Drew Bagnell, Andrew Ng [ps.gz][pdf][bibtex] Bayesian models of human action understanding Chris Baker, Josh Tenenbaum, Rebecca Saxe [ps.gz][pdf][bibtex] The Curse of Highly Variable Functions for Local Kernel Machines Yoshua Bengio, Olivier Delalleau, Nicolas Le Roux [ps.gz][pdf][bibtex] Non-Local Manifold Parzen Windows Yoshua Bengio, Hugo Larochelle, Pascal Vincent [ps.gz][pdf][bibtex] Convex Neural Networks Yoshua Bengio, Nicolas Le Roux, Pascal Vincent, Olivier Delalleau, Patrice Marcotte [ps.gz][pdf][bibtex] Non-Gaussian Component Analysis: a Semi-parametric Framework for Linear Dimension Reduction Gilles Blanchard, Masashi Sugiyama, Motoaki Kawanabe, Vladimir Spokoiny, Klaus-Robert Müller [ps.gz][pdf][bibtex] From Weighted Classification to Policy Search Doron Blatt, Alfred Hero [ps.gz][pdf][bibtex] Correlated Topic Models David Blei, John Lafferty [ps.gz][pdf][bibtex] Saliency Based on Information Maximization Neil Bruce, John Tsotsos [ps.gz][pdf][bibtex] Active Learning For Identifying Function Threshold Boundaries Brent Bryan, Jeff Schneider, Robert Nichol, Christopher Miller, Christopher Genovese, Larry Wasserman [ps.gz][pdf][bibtex] Subsequence Kernels for Relation Extraction Razvan Bunescu, Raymond Mooney [ps.gz][pdf][bibtex] Faster Rates in Regression via Active Learning Rui Castro, Rebecca Willett, Robert Nowak [ps.gz][pdf][bibtex] Gradient Flow Independent Component Analysis in Micropower VLSI Abdullah Celik, Milutin Stanacevic, Gert Cauwenberghs [ps.gz][pdf][bibtex] Improved risk tail bounds for on-line algorithms Nicolò Cesa-Bianchi, Claudio Gentile [ps.gz][pdf][bibtex] Layered Dynamic Textures Antoni Chan, Nuno Vasconcelos [ps.gz][pdf][bibtex] Size Regularized Cut for Data Clustering Yixin Chen, Ya Zhang, Xiang Ji [ps.gz][pdf][bibtex] Learning from Data of Variable Quality Koby Crammer, Michael Kearns, Jennifer Wortman [ps.gz][pdf][bibtex] Efficient estimation of hidden state dynamics from spike trains Márton Danóczy, Richard Hahnloser [ps.gz][pdf][bibtex] Coarse sample complexity bounds for active learning Sanjoy Dasgupta [ps.gz][pdf][bibtex] Norepinephrine and Neural Interrupts Peter Dayan, Angela Yu [ps.gz][pdf][bibtex] The Forgetron: A Kernel-Based Perceptron on a Fixed Budget Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer [ps.gz][pdf][bibtex] Data-Driven Online to Batch Conversions Ofer Dekel, Yoram Singer [ps.gz][pdf][bibtex] Beyond Gaussian Processes: On the Distributions of Infinite Networks Ricky Der, Daniel Lee [ps.gz][pdf][bibtex] Generalized Nonnegative Matrix Approximations with Bregman Divergences Inderjit Dhillon, Suvrit Sra [ps.gz][pdf][bibtex] An Application of Markov Random Fields to Range Sensing James Diebel, Sebastian Thrun [ps.gz][pdf][bibtex] Transfer learning for text classification Chuong Do, Andrew Ng [ps.gz][pdf][bibtex] A Theoretical Analysis of Robust Coding over Noisy Overcomplete Channels Eizaburo Doi, Doru C. Balcan, Michael S. Lewicki [ps.gz][pdf][bibtex] Optimizing spatio-temporal filters for improving Brain-Computer Interfacing Guido Dornhege, Benjamin Blankertz, Matthias Krauledat, Florian Losch, Gabriel Curio, Klaus-Robert Müller [ps.gz][pdf][bibtex] Correcting sample selection bias in maximum entropy density estimation Miroslav Dudík, Robert Schapire, Steven Phillips [ps.gz][pdf][bibtex] Searching for Character Models Jaety Edwards, David Forsyth [ps.gz][pdf][bibtex] Hierarchical Linear/Constant Time SLAM Using Particle Filters for Dense Maps Austin Eliazar, Parr Ronald [ps.gz][pdf][bibtex] Learning to Control an Octopus Arm with Gaussian Process Temporal Difference Methods Yaakov Engel, Peter Szabo, Dmitry Volkinshtein [ps.gz][pdf][bibtex] Two view learning: SVM-2K, Theory and Practice Jason D. R. Farquhar, David Hardoon, Hongying Meng, John Shawe-Taylor, Sandor Szedmak [ps.gz][pdf][bibtex] Robust design of biological experiments Patrick Flaherty, Michael Jordan, Adam Arkin [ps.gz][pdf][bibtex] Pattern Recognition from One Example by Chopping Francois Fleuret, Gilles Blanchard [ps.gz][pdf][bibtex] Fast Krylov Methods for N-Body Learning Nando De Freitas, Yang Wang, Maryam Mahdaviani, Dustin Lang [ps.gz][pdf][bibtex] Mixture Modeling by Affinity Propagation Brendan Frey, Delbert Dueck [ps.gz][pdf][bibtex] Statistical Convergence of Kernel CCA Kenji Fukumizu, Francis Bach, Arthur Gretton [ps.gz][pdf][bibtex] Learning Rankings via Convex Hull Separation Glenn Fung, Romer Rosales, Balaji Krishnapuram [ps.gz][pdf][bibtex] A Connectionist Model for Constructive Modal Reasoning Artur Garcez, Luis Lamb, Dov Gabbay [ps.gz][pdf][bibtex] Products of ``Edge-perts Peter Gehler, Max Welling [ps.gz][pdf][bibtex] Fast biped walking with a reflexive controller and real-time policy searching Tao Geng, Bernd Porr, Florentin Wörgötter [ps.gz][pdf][bibtex] Bayesian Sets Zoubin Ghahramani, Katherine Heller [ps.gz][pdf][bibtex] Query by Committee Made Real Ran Gilad-Bachrach, Amir Navot, Naftali Tishby [ps.gz][pdf][bibtex] Metric Learning by Collapsing Classes Amir Globerson, Sam Roweis [ps.gz][pdf][bibtex] Interpolating between types and tokens by estimating power-law generators Sharon Goldwater, Tom Griffiths, Mark Johnson [ps.gz][pdf][bibtex] A Probabilistic Interpretation of SVMs with an Application to Unbalanced Classification Yves Grandvalet, Johnny Mariéthoz, Samy Bengio [ps.gz][pdf][bibtex] Infinite latent feature models and the Indian buffet process Tom Griffiths, Zoubin Ghahramani [ps.gz][pdf][bibtex] Computing the Solution Path for the Regularized Support Vector Regression Lacey Gunter, Ji Zhu [ps.gz][pdf][bibtex] Large-Scale Multiclass Transduction Thomas Gärtner, Quoc V. Le, Simon Burton, Alex Smola, S V N Vishwanathan [ps.gz][pdf][bibtex] Hot Coupling: A Particle Approach to Inference and Normalization on Pairwise Undirected Graphs Firas Hamze, Nando De Freitas [ps.gz][pdf][bibtex] Laplacian Score for Feature Selection Xiaofei He, Deng Cai, Partha Niyogi [ps.gz][pdf][bibtex] Tensor Subspace Analysis Xiaofei He, Deng Cai, Partha Niyogi [ps.gz][pdf][bibtex] Inferring Motor Programs from Images of Handwritten Digits Geoff Hinton, Vinod Nair [ps.gz][pdf][bibtex] Response Analysis of Neuronal Population with Synaptic Depression Wentao Huang, Licheng Jiao, Shan Tan, Maoguo Gong [ps.gz][pdf][bibtex] Non-iterative Estimation with Perturbed Gaussian Markov Processes Yunsong Huang, B. Keith Jenkins [ps.gz][pdf][bibtex] Learning Cue-Invariant Visual Responses Jarmo Hurri [ps.gz][pdf][bibtex] Bayesian Surprise Attracts Human Attention Laurent Itti, Pierre Baldi [ps.gz][pdf][bibtex] Efficient Estimation of OOMs Herbert Jaeger, Mingjie Zhao, Andreas Kolling [ps.gz][pdf][bibtex] Representing Part-Whole Relationships in Recurrent Neural Networks Viren Jain, Valentin Zhigulin, H. Sebastian Seung [ps.gz][pdf][bibtex] A Probabilistic Approach for Optimizing Spectral Clustering Rong Jin, Chris Ding, Feng Kang [ps.gz][pdf][bibtex] Walk-Sum Interpretation and Analysis of Gaussian Belief Propagation Jason Johnson, Dmitry Malioutov, Alan Willsky [ps.gz][pdf][bibtex] Using ``epitomes to model genetic diversity: Rational design of HIV vaccine cocktails Nebojsa Jojic, Vladimir Jojic, Brendan Frey, Christopher Meek, David Heckerman [ps.gz][pdf][bibtex] Integrate-and-Fire models with adaptation are good enough Renaud Jolivet, Alexander Rauch, Hans-Rudolf Lüscher, Wulfram Gerstner [ps.gz][pdf][bibtex] Generalization Error Bounds for Aggregation by Mirror Descent with Averaging Anatoli Juditsky, Alexander Nazin, Alexandre Tsybakov, Nicolas Vayatis [ps.gz][pdf][bibtex] Worst-Case Bounds for Gaussian Process Models Sham Kakade, Matthias Seeger, Dean Foster [ps.gz][pdf][bibtex] From Batch to Transductive Online Learning Sham Kakade, Adam Kalai [ps.gz][pdf][bibtex] Hyperparameter and Kernel Learning for Graph Based Semi-Supervised Classification Ashish Kapoor, Yuan (Alan) Qi, Hyungil Ahn, Rosalind Picard [ps.gz][pdf][bibtex] Is Early Vision Optimized for Extracting Higher-order Dependencies? Yan Karklin, Michael S. Lewicki [ps.gz][pdf][bibtex] A matching pursuit approach to sparse Gaussian process regression Sathiya Keerthi, Wei Chu [ps.gz][pdf][bibtex] Benchmarking Non-Parametric Statistical Tests Mikaela Keller, Samy Bengio, Siew Yeung Wong [ps.gz][pdf][bibtex] Robust Fisher Discriminant Analysis Seung-Jean Kim, Alessandro Magnani, Stephen Boyd [ps.gz][pdf][bibtex] Measuring Shared Information and Coordinated Activity in Neuronal Networks Kristina Klinkner, Cosma Shalizi, Marcelo Camperi [ps.gz][pdf][bibtex] Inference with Minimal Communication: a Decision-Theoretic Variational Approach O. Patrick Kreidl, Alan Willsky [ps.gz][pdf][bibtex] Generalization in Clustering with Unobserved Features Eyal Krupka, Naftali Tishby [ps.gz][pdf][bibtex] Variable KD-Tree Algorithms for Spatial Pattern Search and Discovery Jeremy Kubica, Joseph Masiero, Andrew Moore, Robert Jedicke, Andrew Connolly [ps.gz][pdf][bibtex] Assessing Approximations for Gaussian Process Classification Malte Kuss, Carl Edward Rasmussen [ps.gz][pdf][bibtex] Rodeo: Sparse Nonparametric Regression in High Dimensions John Lafferty, Larry Wasserman [ps.gz][pdf][bibtex] Fixing two weaknesses of the Spectral Method Kevin Lang [ps.gz][pdf][bibtex] Fusion of Similarity Data in Clustering Tilman Lange, Joachim Buhmann [ps.gz][pdf][bibtex] A PAC-Bayes approach to the Set Covering Machine François Laviolette, Mario Marchand, Mohak Shah [ps.gz][pdf][bibtex] Off-Road Obstacle Avoidance through End-to-End Learning Yann LeCun, Urs Muller, Jan Ben, Eric Cosatto, Beat Flepp [ps.gz][pdf][bibtex] Dual-Tree Fast Gauss Transforms Dongryeol Lee, Alexander Gray, Andrew Moore [ps.gz][pdf][bibtex] CMOL CrossNets: Possible Neuromorphic Nanoelectronic Circuits Jung Hoon Lee, Xiaolong Ma, Konstantin Likharev [ps.gz][pdf][bibtex] A Criterion for the Convergence of Learning with Spike Timing Dependent Plasticity Robert Legenstein, Wolfgang Maass [ps.gz][pdf][bibtex] Dynamical Synapses Give Rise to a Power-Law Distribution of Neuronal Avalanches Anna Levina, Michael Herrmann [ps.gz][pdf][bibtex] From Lasso regression to Feature vector machine Fan Li, Yiming Yang, Eric Xing [ps.gz][pdf][bibtex] Radial Basis Function Network for Multi-task Learning Xuejun Liao, Lawrence Carin [ps.gz][pdf][bibtex] Location-based activity recognition Lin Liao, Dieter Fox, Henry Kautz [ps.gz][pdf][bibtex] Asymptotics of Gaussian Regularized Least Squares Ross Lippert, Ryan Rifkin [ps.gz][pdf][bibtex] Efficient Unsupervised Learning for Localization and Detection in Object Categories Nicolas Loeff, Himanshu Arora, Alexander Sorokin, David Forsyth [ps.gz][pdf][bibtex] Convergence and Consistency of Regularized Boosting Algorithms with Stationary $beta$-Mixing Observations Aurélie Lozano, Sanjeev Kulkarni, Robert Schapire [ps.gz][pdf][bibtex] Ideal Observers for Detecting Motion: Correspondence Noise Hongjing Lu, Alan Yuille [ps.gz][pdf][bibtex] Principles of real-time computing with feedback applied to cortical microcircuit models Wolfgang Maass, Prashant Joshi, Eduardo D. Sontag [ps.gz][pdf][bibtex] Value Function Approximation with Diffusion Wavelets and Laplacian Eigenfunctions Sridhar Mahadevan, Mauro Maggioni [ps.gz][pdf][bibtex] Noise and the two-thirds power Law Uri Maoz, Elon Portugaly, Tamar Flash, Yair Weiss [ps.gz][pdf][bibtex] Modeling Memory Transfer and Saving in Cerebellar Motor Learning Naoki Masuda, Shun-ichi Amari [ps.gz][pdf][bibtex] An exploration-exploitation model based on norepinepherine and dopamine activity Samuel McClure, Mark Gilzenrat, Jonathan Cohen [ps.gz][pdf][bibtex] Online Discovery and Learning of Predictive State Representations Peter McCracken, Michael Bowling [ps.gz][pdf][bibtex] An Alternative Infinite Mixture Of Gaussian Process Experts Edward Meeds, Simon Osindero [ps.gz][pdf][bibtex] Unbiased Estimator of Shape Parameter for Spiking Irregularities under Changing Environments Keiji Miura, Masato Okada, Shun-ichi Amari [ps.gz][pdf][bibtex] Consensus Propagation Ciamac Moallemi, Benjamin Van Roy [ps.gz][pdf][bibtex] Context as Filtering Daichi Mochihashi, Yuji Matsumoto [ps.gz][pdf][bibtex] Spectral Bounds for Sparse PCA: Exact and Greedy Algorithms Baback Moghaddam, Yair Weiss, Shai Avidan [ps.gz][pdf][bibtex] Top-Down Control of Visual Attention: A Rational Account Michael Mozer, Michael Shettel, Shaun Vecera [ps.gz][pdf][bibtex] Rate Distortion Codes in Sensor Networks Tatsuto Murayama, Peter Davis [ps.gz][pdf][bibtex] Gaussian Processes for Multiuser Detection in CDMA receivers Juan José Murillo-Fuentes, Sebastian Caro, Fernando Pérez-Cruz [ps.gz][pdf][bibtex] Nested sampling for Potts models Iain Murray, David MacKay, Zoubin Ghahramani, John Skilling [ps.gz][pdf][bibtex] Diffusion Maps, Spectral Clustering and Eigenfunctions of Fokker-Planck Operators Boaz Nadler, Stephane Lafon, Ronald Coifman, Ioannis Kevrekidis [ps.gz][pdf][bibtex] Stimulus Evoked Independent Factor Analysis of MEG Data with Large Background Activity Srikantan Nagarajan, Hagai Attias, Kenneth Hild, Kensuke Sekihara [ps.gz][pdf][bibtex] An Analog Visual Pre-Processing Processor Employing Cyclic Line Access in Only-Nearest-Neighbor-Interconnects Architecture Yusuke Nakashita, Yoshio Mita, Tadashi Shibata [ps.gz][pdf][bibtex] Q-Clustering Mukund Narasimhan, Nebojsa Jojic, Jeff Bilmes [ps.gz][pdf][bibtex] Optimal cue selection strategy Vidhya Navalpakkam, Laurent Itti [ps.gz][pdf][bibtex] Nearest Neighbor Based Feature Selection for Regression and its Application to Neural Activity Amir Navot, Lavi Shpigelman, Naftali Tishby, Eilon Vaadia [ps.gz][pdf][bibtex] A Bayesian Spatial Scan Statistic Daniel Neill, Andrew Moore, Gregory Cooper [ps.gz][pdf][bibtex] Divergences, surrogate loss functions and experimental design XuanLong Nguyen, Martin Wainwright, Michael Jordan [ps.gz][pdf][bibtex] How fast to work: Response vigor, motivation and tonic dopamine Yael Niv, Nathaniel Daw, Peter Dayan [ps.gz][pdf][bibtex] Analyzing Coupled Brain Sources: Distinguishing True from Spurious Interaction Guido Nolte, Andreas Ziehe, Frank Meinecke, Klaus-Robert Müller [ps.gz][pdf][bibtex] An Approximate Inference Approach for the PCA Reconstruction Error Manfred Opper [ps.gz][pdf][bibtex] Bayesian model learning in human visual perception Gergő Orbán, József Fiser, Richard Aslin, Máté Lengyel [ps.gz][pdf][bibtex] Spiking Inputs to a Winner-take-all Network Matthias Oster, Shih-Chii Liu [ps.gz][pdf][bibtex] Variational EM Algorithms for Non-Gaussian Latent Variable Models Jason Palmer, David Wipf, Kenneth Kreutz-Delgado, Bhaskar Rao [ps.gz][pdf][bibtex] Nonparametric inference of prior probabilities from Bayes-optimal behavior Liam Paninski [ps.gz][pdf][bibtex] Neuronal Fiber Delineation in Area of Edema from Diffusion Weighted MRI Ofer Pasternak, Nir Sochen, Nathan Intrator, Yaniv Assaf [ps.gz][pdf][bibtex] Beyond Pair-Based STDP: a Phenomenological Rule for Spike Triplet and Frequency Effects Jean-Pascal Pfister, Wulfram Gerstner [ps.gz][pdf][bibtex] Scaling Laws in Natural Scenes and the Inference of 3D Shape Brian Potetz, Tai-Sing Lee [ps.gz][pdf][bibtex] Off-policy Learning with Options and Recognizers Doina Precup, Richard Sutton, Cosmin Paduraru, Anna Koop, Satinder Singh [ps.gz][pdf][bibtex] Estimation of Intrinsic Dimensionality Using High-Rate Vector Quantization Maxim Raginsky, Svetlana Lazebnik [ps.gz][pdf][bibtex] Preconditioner Approximations for Probabilistic Graphical Models Pradeep Ravikumar, John Lafferty [ps.gz][pdf][bibtex] Cue Integration for Figure/Ground Labeling Xiaofeng Ren, Charless Fowlkes, Jitendra Malik [ps.gz][pdf][bibtex] Generalization to Unseen Cases Teemu Roos, Peter Grünwald, Petri Myllymäki, Henry Tirri [ps.gz][pdf][bibtex] TD(0) Leads to Better Policies than Approximate Value Iteration Benjamin Van Roy [ps.gz][pdf][bibtex] Visual Encoding with Jittering Eyes Michele Rucci [ps.gz][pdf][bibtex] Dynamic Social Network Analysis using Latent Space Models Purnamrita Sarkar, Andrew Moore [ps.gz][pdf][bibtex] Logic and MRF Circuitry for Labeling Occluding and Thinline Visual Contours Eric Saund [ps.gz][pdf][bibtex] Learning Depth from Single Monocular Images Ashutosh Saxena, Sung H. Chung, Andrew Ng [ps.gz][pdf][bibtex] Identifying Distributed Object Representations in Human Extrastriate Visual Cortex Rory Sayres, David Ress, Kalanit Grill-Spector [ps.gz][pdf][bibtex] An aVLSI Cricket Ear Model Andre Van Schaik, Richard Reeve, Craig Jin, Tara Hamilton [ps.gz][pdf][bibtex] On the Accuracy of Bounded Rationality: How Far from Optimal Is Fast and Frugal? Michael Schmitt, Laura Martignon [ps.gz][pdf][bibtex] Fast Online Policy Gradient Learning with SMD Gain Vector Adaptation Nicol Schraudolph, Jin Yu, Douglas Aberdeen [ps.gz][pdf][bibtex] The Information-Form Data Association Filter Brad Schumitsch, Sebastian Thrun, Gary Bradski, Kunle Olukotun [ps.gz][pdf][bibtex] A Bayesian Framework for Tilt Perception and Confidence Odelia Schwartz, Terrence Sejnowski, Peter Dayan [ps.gz][pdf][bibtex] Learning Minimum Volume Sets Clayton Scott, Robert Nowak [ps.gz][pdf][bibtex] AER Building Blocks for Multi-Layer Multi-Chip Neuromorphic Vision Systems Rafael Serrano-Gotarredona, Matthias Oster, Patrick Lichtsteiner, Alejandro Linares-Barranco, Rafael Paz-Vicente, Francisco Gómez-Rodríguez, Havard Kolle Riis, Tobi Delbrück, Shih-Chii Liu [ps.gz][pdf][bibtex] Fast Gaussian Process Regression using KD-Trees Yirong Shen, Andrew Ng, Matthias Seeger [ps.gz][pdf][bibtex] Learning Shared Latent Structure for Image Synthesis and Robotic Imitation Aaron Shon, Keith Grochow, Aaron Hertzmann, Rajesh Rao [ps.gz][pdf][bibtex] Selecting Landmark Points for Sparse Manifold Learning Jorge Silva, Jorge Marques, João Lemos [ps.gz][pdf][bibtex] Conditional Visual Tracking in Kernel Space Cristian Sminchisescu, Atul Kanaujia, Zhiguo Li, Dimitris Metaxas [ps.gz][pdf][bibtex] Sparse Gaussian Processes using Pseudo-inputs Edward Snelson, Zoubin Ghahramani [ps.gz][pdf][bibtex] Phase Synchrony Rate for the Recognition of Motor Imagery in Brain-Computer Interface Le Song, Evian Gordon, Elly Gysels [ps.gz][pdf][bibtex] A General and Efficient Multiple Kernel Learning Algorithm Sõren Sonnenburg, Gunnar Rätsch, Christin Schäfer [ps.gz][pdf][bibtex] Prediction and Change Detection Mark Steyvers, Scott Brown [ps.gz][pdf][bibtex] Sensory Adaptation within a Bayesian Framework for Perception Alan Stocker, Eero Simoncelli [ps.gz][pdf][bibtex] Describing Visual Scenes using Transformed Dirichlet Processes Erik Sudderth, Antonio Torralba, William Freeman, Alan Willsky [ps.gz][pdf][bibtex] Active Learning for Misspecified Models Masashi Sugiyama [ps.gz][pdf][bibtex] Temporal Abstraction in Temporal-difference Networks Richard Sutton, Eddie Rafols, Anna Koop [ps.gz][pdf][bibtex] Sequence and Tree Kernels with Statistical Feature Mining Jun Suzuki, Hideki Isozaki [ps.gz][pdf][bibtex] Silicon growth cones map silicon retina Brian Taba, Kwabena Boahen [ps.gz][pdf][bibtex] Temporally changing synaptic plasticity Minija Tamosiunaite, Bernd Porr, Florentin Wörgötter [ps.gz][pdf][bibtex] Structured Prediction via the Extragradient Method Ben Taskar, Simon Lacoste-Julien, Michael Jordan [ps.gz][pdf][bibtex] Affine Structure From Sound Sebastian Thrun [ps.gz][pdf][bibtex] Predicting EMG Data from M1 Neurons with Variational Bayesian Least Squares Jo-Anne Ting, Aaron DSouza, Kenji Yamamoto, Toshinori Yoshioka, Donna Hoffman, Shinji Kakei, Lauren Sergio, John Kalaska, Mitsuo Kawato [ps.gz][pdf][bibtex] Generalization error bounds for classifiers trained with interdependent data Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari [ps.gz][pdf][bibtex] Goal-Based Imitation as Probabilistic Inference over Graphical Models Deepak Verma, Rajesh Rao [ps.gz][pdf][bibtex] Kernels for gene regulatory regions Jean-Philippe Vert, Robert Thurman, William Stafford Noble [ps.gz][pdf][bibtex] Consistency of one-class SVM and related algorithms Régis Vert, Jean-Philippe Vert [ps.gz][pdf][bibtex] Multiple Instance Boosting for Object Detection Paul Viola, John Platt, Cha Zhang [ps.gz][pdf][bibtex] Estimating the wrong Markov random field: Benefits in the computation-limited setting Martin Wainwright [ps.gz][pdf][bibtex] Recovery of Jointly Sparse Signals from Few Random Projections Michael Wakin, Marco Duarte, Shriram Sarvotham, Dror Baron, Richard Baraniuk [ps.gz][pdf][bibtex] Gaussian Process Dynamical Models Jack Wang, David Fleet, Aaron Hertzmann [ps.gz][pdf][bibtex] Group and Topic Discovery from Relations and Their Attributes Xuerui Wang, Natasha Mohanty, Andrew McCallum [ps.gz][pdf][bibtex] A Bayes Rule for Density Matrices Manfred Warmuth [ps.gz][pdf][bibtex] Variational Bayesian Stochastic Complexity of Mixture Models Kazuho Watanabe, Sumio Watanabe [ps.gz][pdf][bibtex] Distance Metric Learning for Large Margin Nearest Neighbor Classification Kilian Weinberger, John Blitzer, Lawrence Saul [ps.gz][pdf][bibtex] Analyzing Auditory Neurons by Learning Distance Functions Inna Weiner, Tomer Hertz, Israel Nelken, Daphna Weinshall [ps.gz][pdf][bibtex] Oblivious Equilibrium: A Mean Field Approximation for Large-Scale Dynamic Games Gabriel Y. Weintraub, C. Lanier Benkard, Benjamin Van Roy [ps.gz][pdf][bibtex] Active Bidirectional Coupling in a Cochlear Chip Bo Wen, Kwabena Boahen [ps.gz][pdf][bibtex] Neural mechanisms of contrast dependent receptive field size in V1 Jim Wielaard, Paul Sajda [ps.gz][pdf][bibtex] Factorial Switching Kalman Filters for Condition Monitoring in Neonatal Intensive Care Christopher K. I. Williams, John Quinn, Neil McIntosh [ps.gz][pdf][bibtex] Comparing the Effects of Different Weight Distributions on Finding Sparse Representations David Wipf, Bhaskar Rao [ps.gz][pdf][bibtex] Message passing for task redistribution on sparse graphs K. Y. Michael Wong, David Saad, Zhuo Gao [ps.gz][pdf][bibtex] Modeling Neural Population Spiking Activity with Gibbs Distributions Frank Wood, Stefan Roth, Michael Black [ps.gz][pdf][bibtex] Soft Clustering on Graphs Kai Yu, Shipeng Yu, Volker Tresp [ps.gz][pdf][bibtex] Extracting Dynamical Structure Embedded in Neural Activity Byron Yu, Afsheen Afshar, Gopal Santhanam, Stephen I. Ryu, Krishna Shenoy, Maneesh Sahani [ps.gz][pdf][bibtex] Augmented Rescorla-Wagner and Maximum Likelihood Estimation Alan Yuille [ps.gz][pdf][bibtex] The Role of Top-down and Bottom-up Processes in Guiding Eye Movements during Visual Search Gregory Zelinsky, Wei Zhang, Bing Yu, Xin Chen, Dimitris Samaras [ps.gz][pdf][bibtex] Separation of Music Signals by Harmonic Structure Modeling Yun-Gang Zhang, Chang-Shui Zhang [ps.gz][pdf][bibtex] Learning Multiple Related Tasks using Latent Independent Component Analysis Jian Zhang, Zoubin Ghahramani, Yiming Yang [ps.gz][pdf][bibtex] Modeling Neuronal Interactivity using Dynamic Bayesian Networks Lei Zhang, Dimitris Samaras, Nelly Alia-Klein, Nora Volkow, Rita Goldstein [ps.gz][pdf][bibtex] Learning Influence among Interacting Markov Chains Dong Zhang, Daniel Gatica-Perez, Samy Bengio, Deb Roy [ps.gz][pdf][bibtex] A Domain Decomposition Method for Fast Manifold Learning Zhenyue Zhang, Hongyuan Zha [ps.gz][pdf][bibtex] Analysis of Spectral Kernel Design based Semi-supervised Learning Tong Zhang, Rie Ando [ps.gz][pdf][bibtex] A Computational Model of Eye Movements during Object Class Detection Wei Zhang, Hyejin Yang, Dimitris Samaras, Gregory Zelinsky [ps.gz][pdf][bibtex] A Hierarchical Compositional System for Rapid Object Detection Long Zhu, Alan Yuille [ps.gz][pdf][bibtex] Cyclic Equilibria in Markov Games Martin Zinkevich, Amy Greenwald, Michael Littman [ps.gz][pdf][bibtex] On the Convergence of Eigenspaces in Kernel Principal Component Analysis Laurent Zwald, Gilles Blanchard [ps.gz][pdf][bibtex] |