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ECSQARU
2005
Springer
16 years 16 days ago
On the Use of Restrictions for Learning Bayesian Networks
In this paper we explore the use of several types of structural restrictions within algorithms for learning Bayesian networks. These restrictions may codify expert knowledge in a g...
Luis M. de Campos, Javier Gomez Castellano
205
Voted
ICDM
2005
IEEE
165views Data Mining» more  ICDM 2005»
16 years 19 days ago
Orthogonal Neighborhood Preserving Projections
— Orthogonal Neighborhood Preserving Projections (ONPP) is a linear dimensionality reduction technique which attempts to preserve both the intrinsic neighborhood geometry of the ...
Effrosini Kokiopoulou, Yousef Saad
207
Voted
NLP
2000
15 years 10 months ago
Learning Rules for Large-Vocabulary Word Sense Disambiguation: A Comparison of Various Classifiers
In this article we compare the performance of various machine learning algorithms on the task of constructing word-sense disambiguation rules from data. The distinguishing characte...
Georgios Paliouras, Vangelis Karkaletsis, Ion Andr...
194
Voted
EDBT
2010
ACM
135views Database» more  EDBT 2010»
16 years 1 months ago
Region-based online promotion analysis
This paper addresses a fundamental and challenging problem with broad applications: efficient processing of region-based promotion queries, i.e., to discover the top-k most inter...
Tianyi Wu, Yizhou Sun, Cuiping Li, Jiawei Han
222
Voted
BPSC
2009
240views Business» more  BPSC 2009»
15 years 8 months ago
Modelling and Solving Configuration Problems on Business Processes Using a Multi-Level Constraint Satisfaction Approach
Abstract: In this paper we present our ideas to apply constraint satisfaction on business processes. We propose a multi-level constraint satisfaction approach to handle t levels of...
Wolfgang Runte