Papers
Combination of Arabic Preprocessing Schemes for Statistical Machine Translation
Fatiha Sadat, Nizar Habash
Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics
Nicoletta Calzolari, Claire Cardie, Pierre Isabelle
Relational Learning with Gaussian Processes
Wei Chu, Vikas Sindhwani, Zoubin Ghahramani et al.
Denoising and Dimension Reduction in Feature Space
Mikio L. Braun, Klaus-Robert Müller, Joachim M. Buhmann
Boosting Structured Prediction for Imitation Learning
J. A. Bagnell, Joel Chestnutt, David M. Bradley et al.
Hyperparameter Learning for Graph Based Semi-supervised Learning Algorithms
Xinhua Zhang, Wee S. Lee
MLLE: Modified Locally Linear Embedding Using Multiple Weights
Zhenyue Zhang, Jing Wang
Large Scale Hidden Semi-Markov SVMs
Gunnar Rätsch, Sören Sonnenburg
Sample Complexity of Policy Search with Known Dynamics
Peter L. Bartlett, Ambuj Tewari
Learnability and the doubling dimension
Yi Li, Philip M. Long
TrueSkill™: A Bayesian Skill Rating System
Ralf Herbrich, Tom Minka, Thore Graepel
Modelling transcriptional regulation using Gaussian Processes
Neil D. Lawrence, Guido Sanguinetti, Magnus Rattray
Distributed Inference in Dynamical Systems
Stanislav Funiak, Carlos Guestrin, Rahul Sukthankar et al.
A PAC-Bayes Risk Bound for General Loss Functions
Pascal Germain, Alexandre Lacasse, François Laviolette et al.
No-regret Algorithms for Online Convex Programs
Geoffrey J. Gordon
Large Margin Hidden Markov Models for Automatic Speech Recognition
Fei Sha, Lawrence K. Saul
Unsupervised Regression with Applications to Nonlinear System Identification
Ali Rahimi, Ben Recht
Conditional mean field
Peter Carbonetto, Nando D. Freitas
Nonlinear physically-based models for decoding motor-cortical population activity
Gregory Shakhnarovich, Sung-phil Kim, Michael J. Black
Emergence of conjunctive visual features by quadratic independent component analysis
J.t. Lindgren, Aapo Hyvärinen
Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model
Chaitanya Chemudugunta, Padhraic Smyth, Mark Steyvers
A Kernel Method for the Two-Sample-Problem
Arthur Gretton, Karsten Borgwardt, Malte Rasch et al.
On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts
Hariharan Narayanan, Mikhail Belkin, Partha Niyogi
Scalable Discriminative Learning for Natural Language Parsing and Translation
Joseph Turian, Benjamin Wellington, I. D. Melamed
Max-margin classification of incomplete data
Gal Chechik, Geremy Heitz, Gal Elidan et al.