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» Learning Algorithms for Domain Adaptation
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ICASSP
2008
IEEE
14 years 2 months ago
Discriminative feature selection for hidden Markov models using Segmental Boosting
We address the feature selection problem for hidden Markov models (HMMs) in sequence classification. Temporal correlation in sequences often causes difficulty in applying featur...
Pei Yin, Irfan A. Essa, Thad Starner, James M. Reh...
DEEC
2007
IEEE
14 years 1 months ago
DeepBot: a focused crawler for accessing hidden web content
The crawler engines of today cannot reach most of the information contained in the Web. A great amount of valuable information is "hidden" behind the query forms of onli...
Manuel Álvarez, Juan Raposo, Alberto Pan, F...
CIA
2007
Springer
14 years 1 months ago
Quantifying the Expected Utility of Information in Multi-agent Scheduling Tasks
Abstract. In this paper we investigate methods for analyzing the expected value of adding information in distributed task scheduling problems. As scheduling problems are NP-complet...
Avi Rosenfeld, Sarit Kraus, Charlie Ortiz
ACMSE
2006
ACM
14 years 1 months ago
Automatic quality assessment of Affymetrix GeneChip data
Computing reliable gene expression levels from microarray experiments is a sophisticated process with many potential pitfalls. Quality control is one of the most important steps i...
Steffen Heber, Beate Sick
IDEAL
2005
Springer
14 years 1 months ago
Patterns in Complex Systems Modeling
The design, development, and use of complex systems models raises a unique class of challenges and potential pitfalls, many of which are commonly recurring problems. Over time, res...
Janet Wiles, James Watson