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ICML
2009
IEEE
16 years 3 months ago
Learning Markov logic network structure via hypergraph lifting
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. Learning ML...
Stanley Kok, Pedro Domingos
LREC
2008
155views Education» more  LREC 2008»
15 years 3 months ago
Using Reordering in Statistical Machine Translation based on Alignment Block Classification
Statistical Machine Translation (SMT) is based on alignment models which learn from bilingual corpora the word correspondences between source and target language. These models are...
Marta R. Costa-Jussà, José A. R. Fon...
IJCAI
2007
15 years 3 months ago
Concept Sampling: Towards Systematic Selection in Large-Scale Mixed Concepts in Machine Learning
This paper addresses the problem of concept sampling. In many real-world applications, a large collection of mixed concepts is available for decision making. However, the collecti...
Yi Zhang 0010, Xiaoming Jin
ICALT
2005
IEEE
15 years 8 months ago
Cognitive Apprenticeship-Based Object-Oriented Software Engineering Education Support Environment
Software development is knowledge-intensive as well as collaborative work carried out by several persons. In this type of education, project-based exercises are conducted in order ...
Atsuo Hazeyama, Yoshihide Ohgame, Masato Miura
BIOID
2008
110views Biometrics» more  BIOID 2008»
15 years 4 months ago
An Empirical Comparison of Individual Machine Learning Techniques in Signature and Fingerprint Classification
This paper describes an empirical study to investigate the performance of a wide range of classifiers deployed in applications to classify biometric data. The study specifically re...
Marjory C. C. Abreu, Michael C. Fairhurst