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» Rough Set Approach to CBR
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ICCBR
2005
Springer
14 years 2 months ago
P2P Case Retrieval with an Unspecified Ontology
Traditional CBR approaches imply centralized storage of the case base and, most of them, the retrieval of similar cases by an exhaustive comparison of the case to be solved with th...
Shlomo Berkovsky, Tsvi Kuflik, Francesco Ricci
ADVIS
2004
Springer
14 years 2 months ago
Multiple Sets of Rules for Text Categorization
An important issue in text mining is how to make use of multiple pieces knowledge discovered to improve future decisions. In this paper, we propose a new approach to combining mult...
Yaxin Bi, Terry J. Anderson, Sally I. McClean
ICPR
2010
IEEE
13 years 6 months ago
Identifying Gender from Unaligned Facial Images by Set Classification
Abstract--Rough face alignments lead to suboptimal performance of face identification systems. In this study, we present a novel approach for identifying genders from facial images...
Wen-Sheng Chu, Chun-Rong Huang, Chu-Song Chen
FLAIRS
2008
13 years 11 months ago
Learning Continuous Action Models in a Real-Time Strategy Environment
Although several researchers have integrated methods for reinforcement learning (RL) with case-based reasoning (CBR) to model continuous action spaces, existing integrations typic...
Matthew Molineaux, David W. Aha, Philip Moore
PRL
2006
121views more  PRL 2006»
13 years 8 months ago
Information-preserving hybrid data reduction based on fuzzy-rough techniques
Data reduction plays an important role in machine learning and pattern recognition with a high-dimensional data. In real-world applications data usually exists with hybrid formats...
Qinghua Hu, Daren Yu, Zongxia Xie