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COOPIS
2004
IEEE
15 years 7 months ago
Learning Classifiers from Semantically Heterogeneous Data
Semantically heterogeneous and distributed data sources are quite common in several application domains such as bioinformatics and security informatics. In such a setting, each dat...
Doina Caragea, Jyotishman Pathak, Vasant Honavar
142
Voted
IJAR
2011
86views more  IJAR 2011»
14 years 7 months ago
On open questions in the geometric approach to structural learning Bayesian nets
The basic idea of an algebraic approach to learning Bayesian network (BN) structures is to represent every BN structure by a certain uniquely determined vector, called the standar...
Milan Studený, Jirí Vomlel
134
Voted
NAACL
2003
15 years 5 months ago
In Question Answering, Two Heads Are Better Than One
Motivated by the success of ensemble methods in machine learning and other areas of natural language processing, we developed a multistrategy and multi-source approach to question...
Jennifer Chu-Carroll, Krzysztof Czuba, John M. Pra...
CLEF
2007
Springer
15 years 10 months ago
A Supervised Learning Approach to Spanish Answer Validation
Abstract. This paper describes the results of the INAOE’s answer validation system evaluated at the Spanish track of the AVE 2007. The system is based on a supervised learning ap...
Alberto Téllez-Valero, Manuel Montes-y-G&oa...
LREC
2008
110views Education» more  LREC 2008»
15 years 5 months ago
Cost-Sensitive Learning in Answer Extraction
One problem of data-driven answer extraction in open-domain factoid question answering is that the class distribution of labeled training data is fairly imbalanced. This imbalance...
Michael Wiegand, Jochen L. Leidner, Dietrich Klako...