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DIAGRAMS
2004
Springer
15 years 5 months ago
Decision Diagrams in Machine Learning: An Empirical Study on Real-Life Credit-Risk Data
Decision trees are a widely used knowledge representation in machine learning. However, one of their main drawbacks is the inherent replication of isomorphic subtrees, as a result...
Christophe Mues, Bart Baesens, Craig M. Files, Jan...
ACL
2012
13 years 2 months ago
Learning to "Read Between the Lines" using Bayesian Logic Programs
Most information extraction (IE) systems identify facts that are explicitly stated in text. However, in natural language, some facts are implicit, and identifying them requires â€...
Sindhu Raghavan, Raymond J. Mooney, Hyeonseo Ku
HM
2005
Springer
98views Optimization» more  HM 2005»
15 years 5 months ago
A Hybrid GRASP with Data Mining for the Maximum Diversity Problem
Abstract. The maximum diversity problem (MDP) consists in identifying, in a population, a subset of elements, characterized by a set of attributes, that present the most diverse ch...
L. F. Santos, Marcos Henrique Ribeiro, Alexandre P...
CIKM
2009
Springer
15 years 6 months ago
MKEM: a multi-level knowledge emergence model for mining undiscovered public knowledge
Background: Since Swanson proposed the Undiscovered Public Knowledge (UPK) model, there have been many approaches to uncover UPK by mining the biomedical literature. These earlier...
Ali Zeeshan Ijaz, Min Song, Doheon Lee
CSUR
2006
135views more  CSUR 2006»
14 years 11 months ago
Adaptive information extraction
The growing availability of on-line textual sources and the potential number of applications of knowledge acquisition from textual data has lead to an increase in Information Extr...
Jordi Turmo, Alicia Ageno, Neus Català