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OTM
2005
Springer
15 years 11 months ago
OWL-Based User Preference and Behavior Routine Ontology for Ubiquitous System
In ubiquitous computing, behavior routine learning is the process of mining the context-aware data to find interesting rules on the user’s behavior, while preference learning tri...
Kim Anh Pham Ngoc, Young-Koo Lee, Sungyoung Lee
SC
2004
ACM
15 years 11 months ago
Experiences in Design and Implementation of a High Performance Transport Protocol
This paper describes our experiences in the development of the UDP-based Data Transport (UDT) protocol, an application level transport protocol used in distributed data intensive ...
Yunhong Gu, Xinwei Hong, Robert L. Grossman
DIAGRAMS
2004
Springer
15 years 11 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...
ILP
2004
Springer
15 years 11 months ago
Improving Rule Evaluation Using Multitask Learning
Abstract. This paper introduces Deft, a new multitask learning approach for rule learning algorithms. Like other multitask learning systems, the one proposed here is able to improv...
Mark D. Reid
AMFG
2003
IEEE
126views Biometrics» more  AMFG 2003»
15 years 11 months ago
Rank Constrained Recognition under Unknown Illuminations
Recognition under illumination variations is a challenging problem. The key is to successfully separate the illumination source from the observed appearance. Once separated, what ...
Shaohua Kevin Zhou, Rama Chellappa