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» Intelligent Selection of Language Model Training Data
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GECCO
2006
Springer
138views Optimization» more  GECCO 2006»
15 years 8 months ago
Does overfitting affect performance in estimation of distribution algorithms
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
Hao Wu, Jonathan L. Shapiro
CLEF
2009
Springer
15 years 5 months ago
Simulating Morphological Analyzers with Stochastic Taggers for Confidence Estimation
We propose a method for providing stochastic confidence estimates for rule-based and black-box natural language (NL) processing systems. Our method does not require labeled trainin...
Christian Monson, Kristy Hollingshead, Brian Roark
IJCAI
2007
15 years 6 months ago
Emotions as Durative Dynamic State for Action Selection
Human intelligence requires decades of full-time training before it can be reliably utilised in modern economies. In contrast, AI agents must be made reliable but interesting in r...
Emmanuel Tanguy, Philip J. Willis, Joanna Bryson
CLEF
2008
Springer
15 years 6 months ago
Overview of VideoCLEF 2008: Automatic Generation of Topic-Based Feeds for Dual Language Audio-Visual Content
The VideoCLEF track, introduced in 2008, aims to develop and evaluate tasks related to analysis of and access to multilingual multimedia content. In its first year, VideoCLEF pilo...
Martha Larson, Eamonn Newman, Gareth J. F. Jones
ICDM
2010
IEEE
128views Data Mining» more  ICDM 2010»
15 years 2 months ago
User-Based Active Learning
Active learning has been proven a reliable strategy to reduce manual efforts in training data labeling. Such strategies incorporate the user as oracle: the classifier selects the m...
Christin Seifert, Michael Granitzer