Papers
Acquisition of Verb Entailment from Text
Viktor Pekar
Learning to recognize features of valid textual entailments
Bill MacCartney, Trond Grenager, Marie-Catherine de Marneffe et al.
Effectively Using Syntax for Recognizing False Entailment
Rion Snow, Lucy Vanderwende, Arul Menezes
Segment Choice Models: Feature-Rich Models for Global Distortion in Statistical Machine Translation
Roland Kuhn, Denis Yuen, Michel Simard et al.
Improved Statistical Machine Translation Using Paraphrases
Chris Callison-Burch, Philipp Koehn, Miles Osborne
Do we need phrases? Challenging the conventional wisdom in Statistical Machine Translation
Chris Quirk, Arul Menezes
Capitalizing Machine Translation
Wei Wang, Kevin Knight, Daniel Marcu
Proceedings of the Human Language Technology Conference of the NAACL, Main Conference
Robert C. Moore, Jeff Bilmes, Jennifer Chu-Carroll et al.
On Inferring Application Protocol Behaviors in Encrypted Network Traffic
Charles V. Wright, Fabian Monrose, Gerald M. Masson
Learning to Detect and Classify Malicious Executables in the Wild
J. Zico Kolter, Marcus A. Maloof
Spam Filtering Based On The Analysis Of Text Information Embedded Into Images
Giorgio Fumera, Ignazio Pillai, Fabio Roli
Spam Filtering Using Statistical Data Compression Models
Andrej Bratko, Gordon V. Cormack, Bogdan Filipič et al.
Machine Learning for Computer Security
Philip K. Chan, Richard P. Lippmann
Universal Kernels
Charles A. Micchelli, Yuesheng Xu, Haizhang Zhang
A Robust Procedure For Gaussian Graphical Model Search From Microarray Data With p Larger Than n
Robert Castelo, Alberto Roverato
Linear State-Space Models for Blind Source Separation
Rasmus Kongsgaard Olsson, Lars Kai Hansen
Stability Properties of Empirical Risk Minimization over Donsker Classes
Andrea Caponnetto, Alexander Rakhlin
On Model Selection Consistency of Lasso
Peng Zhao, Bin Yu
Estimation of Gradients and Coordinate Covariation in Classification
Sayan Mukherjee, Qiang Wu
Bounds for the Loss in Probability of Correct Classification Under Model Based Approximation
Magnus Ekdahl, Timo Koski
Consistency of Multiclass Empirical Risk Minimization Methods Based on Convex Loss
Di-Rong Chen, Tao Sun
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
Mikhail Belkin, Partha Niyogi, Vikas Sindhwani