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» Abstracting Reusable Cases from Reinforcement Learning
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129
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EVOW
2009
Springer
15 years 7 months ago
Swarm Intelligence Inspired Multicast Routing: An Ant Colony Optimization Approach
Abstract. The advancement of network induces great demands on a series of applications such as the multicast routing. This paper firstly makes a brief review on the algorithms in ...
Xiaomin Hu, Jun Zhang, Li-Ming Zhang
DAWAK
2006
Springer
15 years 4 months ago
Learning Classifiers from Distributed, Ontology-Extended Data Sources
Abstract. There is an urgent need for sound approaches to integrative and collaborative analysis of large, autonomous (and hence, inevitably semantically heterogeneous) data source...
Doina Caragea, Jun Zhang 0002, Jyotishman Pathak, ...
ECML
2005
Springer
15 years 6 months ago
Learning from Positive and Unlabeled Examples with Different Data Distributions
Abstract. We study the problem of learning from positive and unlabeled examples. Although several techniques exist for dealing with this problem, they all assume that positive exam...
Xiaoli Li, Bing Liu
92
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COLT
2005
Springer
15 years 6 months ago
A PAC-Style Model for Learning from Labeled and Unlabeled Data
Abstract. There has been growing interest in practice in using unlabeled data together with labeled data in machine learning, and a number of different approaches have been develo...
Maria-Florina Balcan, Avrim Blum
120
Voted
CAV
1998
Springer
103views Hardware» more  CAV 1998»
15 years 5 months ago
You Assume, We Guarantee: Methodology and Case Studies
Assume-guarantee reasoning has long been advertised as an important method for decomposing proof obligations in system veri cation. Re nement mappings (homomorphisms) have long bee...
Thomas A. Henzinger, Shaz Qadeer, Sriram K. Rajama...