Papers
Plagiarism Detection across Distant Language Pairs
Alberto Barrón-Cedeño, Paolo Rosso, Eneko Agirre et al.
Multilingual Subjectivity: Are More Languages Better?
Carmen Banea, Rada Mihalcea, Janyce Wiebe
Robust Measurement and Comparison of Context Similarity for Finding Translation Pairs
Daniel Andrade, Tetsuya Nasukawa, Junichi Tsujii
Identifying Multi-word Expressions by Leveraging Morphological and Syntactic Idiosyncrasy
Hassan Al-Haj, Shuly Wintner
Testing SDRT’s Right Frontier
Stergos Afantenos, Nicholas Asher
Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010)
Chu-Ren Huang, Dan Jurafsky
Exclusive Lasso for Multi-task Feature Selection
Yang Zhou, Rong Jin, Steven Chu–Hong Hoi
Matrix-Variate Dirichlet Process Mixture Models
Zhihua Zhang, Guang Dai, Michael I. Jordan
Bayesian Generalized Kernel Models
Zhihua Zhang, Guang Dai, Donghui Wang et al.
Multi-Task Learning using Generalized t Process
Yu Zhang, Dit–Yan Yeung
Bayesian Online Learning for Multi-label and Multi-variate Performance Measures
Xinhua Zhang, Thore Graepel, Ralf Herbrich
Risk Bounds for Levy Processes in the PAC-Learning Framework
Chao Zhang, Dacheng Tao
A highly efficient blocked Gibbs sampler reconstruction of multidimensional NMR spectra
Ji Won Yoon, Simon Wilson, K. Hun Mok
Modeling annotator expertise: Learning when everybody knows a bit of something
Yan Yan, Romer Rosales, Glenn Fung et al.
Dependent Indian Buffet Processes
Sinead Williamson, Peter Orbanz, Zoubin Ghahramani
Structured Prediction Cascades
David Weiss, Benjamin Taskar
Online Passive-Aggressive Algorithms on a Budget
Zhuang Wang, Slobodan Vucetic
A Potential-based Framework for Online Multi-class Learning with Partial Feedback
Shijun Wang, Rong Jin, Hamed Valizadegan
An Alternative Prior Process for Nonparametric Bayesian Clustering
Hanna Wallach, Shane Jensen, Lee Dicker et al.
Guarantees for Approximate Incremental SVMs
Nicolas Usunier, Antoine Bordes, Léon Bottou
Sequential Monte Carlo Samplers for Dirichlet Process Mixtures
Yener Ulker, Bilge Günsel, Taylan Cemgil
State-Space Inference and Learning with Gaussian Processes
Ryan Turner, Marc Deisenroth, Carl Rasmussen
Learning Causal Structure from Overlapping Variable Sets
Sofia Triantafillou, Ioannis Tsamardinos, Ioannis Tollis
A Markov-Chain Monte Carlo Approach to Simultaneous Localization and Mapping
Peter Torma, András György, Csaba Szepesvári
Bayesian Gaussian Process Latent Variable Model
Michalis Titsias, Neil D. Lawrence