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CAV
2012
Springer
198views Hardware» more  CAV 2012»
13 years 4 days ago
Termination Analysis with Algorithmic Learning
An algorithmic-learning-based termination analysis technique is presented. The new technique combines transition predicate abstraction, algorithmic learning, and decision procedure...
Wonchan Lee, Bow-Yaw Wang, Kwangkeun Yi
NIPS
2000
14 years 11 months ago
Balancing Multiple Sources of Reward in Reinforcement Learning
For many problems which would be natural for reinforcement learning, the reward signal is not a single scalar value but has multiple scalar components. Examples of such problems i...
Christian R. Shelton
COOPIS
2003
IEEE
15 years 3 months ago
Mining for Lexons: Applying Unsupervised Learning Methods to Create Ontology Bases
Ontologies in current computer science parlance are computer based resources that represent agreed domain semantics. This paper first introduces ontologies in general and subseque...
Marie-Laure Reinberger, Peter Spyns, Walter Daelem...
DIS
2009
Springer
15 years 4 months ago
MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
Yasser El-Manzalawy, Vasant Honavar
SDM
2008
SIAM
176views Data Mining» more  SDM 2008»
14 years 11 months ago
A General Model for Multiple View Unsupervised Learning
Multiple view data, which have multiple representations from different feature spaces or graph spaces, arise in various data mining applications such as information retrieval, bio...
Bo Long, Philip S. Yu, Zhongfei (Mark) Zhang