Papers
21,849 papers found
Discriminative Keyword Selection Using Support Vector Machines
Fred Richardson, William M. Campbell
Discriminative K-means for Clustering
Jieping Ye, Zheng Zhao, Mingrui Wu
Discriminative Log-Linear Grammars with Latent Variables
Slav Petrov, Dan Klein
Distributed Inference for Latent Dirichlet Allocation
David Newman, Padhraic Smyth, Max Welling et al.
EEG-Based Brain-Computer Interaction: Improved Accuracy by Automatic Single-Trial Error Detection
Pierre Ferrez, José Millán
Efficient Bayesian Inference for Dynamically Changing Graphs
Ozgur Sumer, Umut Acar, Alexander T. Ihler et al.
Efficient Convex Relaxation for Transductive Support Vector Machine
Zenglin Xu, Rong Jin, Jianke Zhu et al.
Efficient Inference for Distributions on Permutations
Jonathan Huang, Carlos Guestrin, Leonidas Guibas
Efficient multiple hyperparameter learning for log-linear models
Chuan-sheng Foo, Chuong B. Do, Andrew Y. Ng
Efficient Principled Learning of Thin Junction Trees
Anton Chechetka, Carlos Guestrin
Ensemble Clustering using Semidefinite Programming
Vikas Singh, Lopamudra Mukherjee, Jiming Peng et al.
Estimating disparity with confidence from energy neurons
Eric K. Tsang, Bertram E. Shi
Estimating divergence functionals and the likelihood ratio by penalized convex risk minimization
Xuanlong Nguyen, Martin J. Wainwright, Michael I. Jordan
Evaluating Search Engines by Modeling the Relationship Between Relevance and Clicks
Ben Carterette, Rosie Jones
Expectation Maximization and Posterior Constraints
Kuzman Ganchev, Ben Taskar, João Gama
Experience-Guided Search: A Theory of Attentional Control
David Baldwin, Michael Mozer
Exponential Family Predictive Representations of State
David Wingate, Satinder S. Baveja
Extending position/phase-shift tuning to motion energy neurons improves velocity discrimination
Yiu M. Lam, Bertram E. Shi
Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition
Maryam Mahdaviani, Tanzeem Choudhury
Fast Variational Inference for Large-scale Internet Diagnosis
Emre Kiciman, David Maltz, John C. Platt
Feature Selection Methods for Improving Protein Structure Prediction with Rosetta
Ben Blum, David Baker, Michael I. Jordan et al.
FilterBoost: Regression and Classification on Large Datasets
Joseph K. Bradley, Robert E. Schapire
Fitted Q-iteration in continuous action-space MDPs
András Antos, Csaba Szepesvári, Rémi Munos
Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations
Amir Globerson, Tommi S. Jaakkola
Gaussian Process Models for Link Analysis and Transfer Learning
Kai Yu, Wei Chu