NeurIPS 2002
207 papers
A Bilinear Model for Sparse Coding
David B. Grimes, Rajesh P. N. Rao Adaptation and Unsupervised Learning
Peter Dayan, Maneesh Sahani, Gregoire Deback Adaptive Caching by Refetching
Robert B. Gramacy, Manfred K. Warmuth, Scott A. Brandt, Ismail Ari Adaptive Quantization and Density Estimation in Silicon
David Hsu, Seth Bridges, Miguel Figueroa, Chris Diorio Annealing and the Rate Distortion Problem
Albert E. Parker, Tomá\v S. Gedeon, Alexander G. Dimitrov Bayesian Image Super-Resolution
Michael E. Tipping, Christopher M. Bishop Bayesian Monte Carlo
Zoubin Ghahramani, Carl E. Rasmussen Binary Coding in Auditory Cortex
Michael R. Deweese, Anthony M. Zador Boosted Dyadic Kernel Discriminants
Baback Moghaddam, Gregory Shakhnarovich Boosting Density Estimation
Saharon Rosset, Eran Segal Branching Law for Axons
Dmitri B. Chklovskii, Armen Stepanyants Circuit Model of Short-Term Synaptic Dynamics
Shih-Chii Liu, Malte Boegershausen, Pascal Suter Cluster Kernels for Semi-Supervised Learning
Olivier Chapelle, Jason Weston, Bernhard Schölkopf Clustering with the Fisher Score
Koji Tsuda, Motoaki Kawanabe, Klaus-Robert Müller Combining Features for BCI
Guido Dornhege, Benjamin Blankertz, Gabriel Curio, Klaus-Robert Müller Derivative Observations in Gaussian Process Models of Dynamic Systems
E. Solak, R. Murray-smith, W. E. Leithead, D. J. Leith, Carl E. Rasmussen Dynamical Causal Learning
David Danks, Thomas L. Griffiths, Joshua B. Tenenbaum Efficient Learning Equilibrium
Ronen I. Brafman, Moshe Tennenholtz Exact MAP Estimates by (Hyper)tree Agreement
Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky Feature Selection in Mixture-Based Clustering
Martin H. Law, Anil K. Jain, Mário Figueiredo Field-Programmable Learning Arrays
Seth Bridges, Miguel Figueroa, Chris Diorio, David Hsu FloatBoost Learning for Classification
Stan Z. Li, Zhenqiu Zhang, Heung-yeung Shum, Hongjiang Zhang Going Metric: Denoising Pairwise Data
Volker Roth, Julian Laub, Klaus-Robert Müller, Joachim M. Buhmann Hyperkernels
Cheng S. Ong, Robert C. Williamson, Alex J. Smola Identity Uncertainty and Citation Matching
Hanna Pasula, Bhaskara Marthi, Brian Milch, Stuart Russell, Ilya Shpitser Improving Transfer Rates in Brain Computer Interfacing: A Case Study
Peter Meinicke, Matthias Kaper, Florian Hoppe, Manfred Heumann, Helge Ritter Incremental Gaussian Processes
Joaquin Quiñonero-candela, Ole Winther Information Diffusion Kernels
Guy Lebanon, John D. Lafferty Kernel Dependency Estimation
Jason Weston, Olivier Chapelle, Vladimir Vapnik, André Elisseeff, Bernhard Schölkopf Kernel Design Using Boosting
Koby Crammer, Joseph Keshet, Yoram Singer Knowledge-Based Support Vector Machine Classifiers
Glenn M. Fung, Olvi L. Mangasarian, Jude W. Shavlik Learning Semantic Similarity
Jaz Kandola, Nello Cristianini, John S. Shawe-taylor Learning to Classify Galaxy Shapes Using the EM Algorithm
Sergey Kirshner, Igor V. Cadez, Padhraic Smyth, Chandrika Kamath Learning to Take Concurrent Actions
Khashayar Rohanimanesh, Sridhar Mahadevan Manifold Parzen Windows
Pascal Vincent, Yoshua Bengio Margin Analysis of the LVQ Algorithm
Koby Crammer, Ran Gilad-bachrach, Amir Navot, Naftali Tishby Margin-Based Algorithms for Information Filtering
Nicolò Cesa-bianchi, Alex Conconi, Claudio Gentile Mismatch String Kernels for SVM Protein Classification
Eleazar Eskin, Jason Weston, William S. Noble, Christina S. Leslie Morton-Style Factorial Coding of Color in Primary Visual Cortex
Javier R. Movellan, Thomas Wachtler, Thomas D. Albright, Terrence Sejnowski Neural Decoding of Cursor Motion Using a Kalman Filter
W Wu, M. J. Black, Y. Gao, M. Serruya, A. Shaikhouni, J. P. Donoghue, Elie Bienenstock PAC-Bayes & Margins
John Langford, John Shawe-Taylor Prediction and Semantic Association
Thomas L. Griffiths, Mark Steyvers Prediction of Protein Topologies Using Generalized IOHMMs and RNNs
Gianluca Pollastri, Pierre Baldi, Alessandro Vullo, Paolo Frasconi Rational Kernels
Corinna Cortes, Patrick Haffner, Mehryar Mohri Real-Time Particle Filters
Cody Kwok, Dieter Fox, Marina Meila Recovering Intrinsic Images from a Single Image
Marshall F. Tappen, William T. Freeman, Edward H. Adelson Regularized Greedy Importance Sampling
Finnegan Southey, Dale Schuurmans, Ali Ghodsi Robust Novelty Detection with Single-Class MPM
Laurent E. Ghaoui, Michael I. Jordan, Gert R. Lanckriet Self Supervised Boosting
Max Welling, Richard S. Zemel, Geoffrey E. Hinton Spike Timing-Dependent Plasticity in the Address Domain
R. J. Vogelstein, Francesco Tenore, Ralf Philipp, Miriam S. Adlerstein, David H. Goldberg, Gert Cauwenberghs Stability-Based Model Selection
Tilman Lange, Mikio L. Braun, Volker Roth, Joachim M. Buhmann Stochastic Neighbor Embedding
Geoffrey E. Hinton, Sam T. Roweis String Kernels, Fisher Kernels and Finite State Automata
Craig Saunders, Alexei Vinokourov, John S. Shawe-taylor Support Vector Machines for Multiple-Instance Learning
Stuart Andrews, Ioannis Tsochantaridis, Thomas Hofmann The Decision List Machine
Marina Sokolova, Mario Marchand, Nathalie Japkowicz, John S. Shawe-taylor The RA Scanner: Prediction of Rheumatoid Joint Inflammation Based on Laser Imaging
Anton Schwaighofer, Volker Tresp, Peter Mayer, Alexander K. Scheel, Gerhard A. Müller Theory-Based Causal Inference
Joshua B. Tenenbaum, Thomas L. Griffiths Timing and Partial Observability in the Dopamine System
Nathaniel D. Daw, Aaron C. Courville, David S. Touretzky