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CSL
2008
Springer
13 years 8 months ago
A stopping criterion for active learning
Active learning (AL) is a framework that attempts to reduce the cost of annotating training material for statistical learning methods. While a lot of papers have been presented on...
Andreas Vlachos
JAIR
2006
110views more  JAIR 2006»
13 years 8 months ago
Domain Adaptation for Statistical Classifiers
The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applicati...
Hal Daumé III, Daniel Marcu
COLING
2010
13 years 2 months ago
Efficient Statement Identification for Automatic Market Forecasting
Strategic business decision making involves the analysis of market forecasts. Today, the identification and aggregation of relevant market statements is done by human experts, oft...
Henning Wachsmuth, Peter Prettenhofer, Benno Stein
INTERSPEECH
2010
13 years 2 months ago
Beyond sentence prosody
The prosody of a sentence (utterance) when it appears in a discourse context differs substantially from when it is uttered in isolation. This paper addresses why paragraph is a di...
Chiu-yu Tseng
AAAI
2011
12 years 8 months ago
Fast Newton-CG Method for Batch Learning of Conditional Random Fields
We propose a fast batch learning method for linearchain Conditional Random Fields (CRFs) based on Newton-CG methods. Newton-CG methods are a variant of Newton method for high-dime...
Yuta Tsuboi, Yuya Unno, Hisashi Kashima, Naoaki Ok...