Papers
Learning Context-Dependent Mappings from Sentences to Logical Form
Luke Zettlemoyer, Michael Collins
Learning Efficient Parsing
Gertjan van Noord
Learning foci for Question Answering over Topic Maps
Alexander Mikhailian, Tiphaine Dalmas, Rani Pinchuk
Learning foci for Question Answering over Topic Maps
Alexander Mikhailian, Tiphaine Dalmas, Rani Pinchuk
Learning from Multiple Partially Observed Views - an Application to Multilingual Text Categorization
Massih R. Amini, Nicolas Usunier, Cyril Goutte
Learning from Neighboring Strokes: Combining Appearance and Context for Multi-Domain Sketch Recognition
Tom Ouyang, Randall Davis
Learning GP-BayesFilters via Gaussian process latent variable models
J. Ko and D. Fox
Learning Halfspaces with Malicious Noise
Adam R. Klivans, Philip M. Long, Rocco A. Servedio
Learning in Markov Random Fields using Tempered Transitions
Ruslan Salakhutdinov
Learning Label Embeddings for Nearest-Neighbor Multi-class Classification with an Application to Speech Recognition
Natasha Singh-miller, Michael Collins
Learning Linear Ordering Problems for Better Translation
Roy Tromble, Jason Eisner
Learning Linear Ranking Functions for Beam Search with Application to Planning
Yuehua Xu, Alan Fern, Sungwook Yoon
Learning models of object structure
Joseph Schlecht, Kobus Barnard
Learning Nondeterministic Classifiers
Juan José del Coz, Jorge Díez, Antonio Bahamonde
Learning Non-Linear Combinations of Kernels
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
Learning of 2D grasping strategies from box-based 3D object approximations
S. Geidenstam, K. Huebner, D. Banksell and D. Kragic
Learning Permutations with Exponential Weights
David P. Helmbold, Manfred K. Warmuth
Learning Phoneme Mappings for Transliteration without Parallel Data
Sujith Ravi, Kevin Knight
Learning Semantic Categories from Clickthrough Logs
Mamoru Komachi, Shimpei Makimoto, Kei Uchiumi et al.
Learning Semantic Categories from Clickthrough Logs
Mamoru Komachi, Shimpei Makimoto, Kei Uchiumi et al.
Learning Semantic Correspondences with Less Supervision
Percy Liang, Michael Jordan, Dan Klein
Learning Semantic Correspondences with Less Supervision
Percy Liang, Michael Jordan, Dan Klein
Learning to Explore and Exploit in POMDPs
Chenghui Cai, Xuejun Liao, Lawrence Carin
Learning to Hash with Binary Reconstructive Embeddings
Brian Kulis, Trevor Darrell