Papers
Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers
Bo Jiang, Xuegong Zhang, Tianxi Cai
Estimating the Location and Orientation of Complex, Correlated Neural Activity using MEG
Julia Owen, Hagai T. Attias, Kensuke Sekihara et al.
Estimating vector fields using sparse basis field expansions
Stefan Haufe, Vadim V. Nikulin, Andreas Ziehe et al.
Estimation of Conditional Probabilities With Decision Trees and an Application to Fine-Grained POS Tagging
Helmut Schmid, Florian Laws
Estimation of Information Theoretic Measures for Continuous Random Variables
Fernando Pérez-Cruz
Evaluating probabilities under high-dimensional latent variable models
Iain Murray, Ruslan Salakhutdinov
Evaluating Roget‘s Thesauri
Alistair Kennedy, Stan Szpakowicz
Evaluating Unsupervised Part-of-Speech Tagging for Grammar Induction
William P. Headden III, David McClosky, Eugene Charniak
Evaluating Word Prediction: Framing Keystroke Savings
Keith Trnka, Kathleen McCoy
Event Frame Extraction Based on a Gene Regulation Corpus
Yutaka Sasaki, Paul Thompson, Philip Cotter et al.
Event Matching Using the Transitive Closure of Dependency Relations
Daniel M. Bikel, Vittorio Castelli
Evidence Contrary to the Statistical View of Boosting
David Mease, Abraham Wyner
Evolving New Lexical Association Measures Using Genetic Programming
Jan Šnajder, Bojana Dalbelo Bašić, Saša Petrović et al.
Exact Convex Confidence-Weighted Learning
Koby Crammer, Mark Dredze, Fernando Pereira
Exact Inference for Multi-label Classification using Sparse Graphical Models
Yusuke Miyao, Jun’ichi Tsujii
Experiments in Base-NP Chunking and Its Role in Dependency Parsing for Thai
Shisanu Tongchim, Virach Sornlertlamvanich, Hitoshi Isahara
Experiments in Telugu NER: A Conditional Random Field Approach
Praneeth M Shishtla, Karthik Gali, Prasad Pingali et al.
Experiments with Reasoning for Temporal Relations between Events
Marta Tatu, Munirathnam Srikanth
Explaining Similarity of Terms
Vishnu Vyas, Patrick Pantel
Exploiting Constituent Dependencies for Tree Kernel-Based Semantic Relation Extraction
Longhua Qian, Guodong Zhou, Fang Kong et al.
Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition
Andrew Arnold, Ramesh Nallapati, William W. Cohen
Exploiting N-best Hypotheses for SMT Self-Enhancement
Boxing Chen, Min Zhang, Aiti Aw et al.