Papers
Learnability, Stability and Uniform Convergence
Shai Shalev-Shwartz, Ohad Shamir, Nathan Srebro et al.
Learning 5000 Relational Extractors
Raphael Hoffmann, Congle Zhang, Daniel S. Weld
Learning about Voice Search for Spoken Dialogue Systems
Rebecca Passonneau, Susan L. Epstein, Tiziana Ligorio et al.
Learning Arguments and Supertypes of Semantic Relations Using Recursive Patterns
Zornitsa Kozareva, Eduard Hovy
Learning Bayesian Network Structure using LP Relaxations
Tommi Jaakkola, David Sontag, Amir Globerson et al.
Learning Better Data Representation Using Inference-Driven Metric Learning
Paramveer S. Dhillon, Partha Pratim Talukdar, Koby Crammer
Learning Better Monolingual Models with Unannotated Bilingual Text
David Burkett, Slav Petrov, John Blitzer et al.
Learning Bounds for Importance Weighting
Corinna Cortes, Yishay Mansour, Mehryar Mohri
Learning Causal Structure from Overlapping Variable Sets
Sofia Triantafillou, Ioannis Tsamardinos, Ioannis Tollis
Learning Common Grammar from Multilingual Corpus
Tomoharu Iwata, Daichi Mochihashi, Hiroshi Sawada
Learning concept graphs from text with stick-breaking priors
America Chambers, Padhraic Smyth, Mark Steyvers
Learning Convolutional Feature Hierarchies for Visual Recognition
Koray Kavukcuoglu, Pierre Sermanet, Y-lan Boureau et al.
Learning Dense Models of Query Similarity from User Click Logs
Fabio De Bona, Stefan Riezler, Keith Hall et al.
Learning Efficient Markov Networks
Vibhav Gogate, William Webb, Pedro Domingos
Learning Exponential Families in High-Dimensions: Strong Convexity and Sparsity
Sham Kakade, Ohad Shamir, Karthik Sindharan et al.
Learning First-Order Horn Clauses from Web Text
Stefan Schoenmackers, Jesse Davis, Oren Etzioni et al.
Learning from Candidate Labeling Sets
Jie Luo, Francesco Orabona
Learning From Crowds
Vikas C. Raykar, Shipeng Yu, Linda H. Zhao et al.
Learning from Logged Implicit Exploration Data
Alex Strehl, John Langford, Lihong Li et al.
Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence
Qiang Wu, Justin Guinney, Mauro Maggioni et al.
Learning Instance-Specific Predictive Models
Shyam Visweswaran, Gregory F. Cooper
Learning invariant features using the Transformed Indian Buffet Process
Joseph L. Austerweil, Thomas L. Griffiths
Learning Kernels with Radiuses of Minimum Enclosing Balls
Kun Gai, Guangyun Chen, Chang-shui Zhang
Learning Lexicalized Reordering Models from Reordering Graphs
Jinsong Su, Yang Liu, Yajuan Lv et al.
Learning Multiple Tasks using Manifold Regularization
Arvind Agarwal, Samuel Gerber, Hal Daume