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» Learning Taxonomies by Dependence Maximization
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84
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ICSOC
2010
Springer
14 years 8 months ago
From Quality to Utility: Adaptive Service Selection Framework
Abstract. We consider an approach to service selection wherein service consumers choose services with desired nonfunctional properties to maximize their utility. A consumer’s uti...
Chung-Wei Hang, Munindar P. Singh
140
Voted
CORR
2010
Springer
175views Education» more  CORR 2010»
14 years 4 months ago
On the Combinatorial Multi-Armed Bandit Problem with Markovian Rewards
We consider a combinatorial generalization of the classical multi-armed bandit problem that is defined as follows. There is a given bipartite graph of M users and N M resources. F...
Yi Gai, Bhaskar Krishnamachari, Mingyan Liu
80
Voted
COMCOM
2004
112views more  COMCOM 2004»
14 years 10 months ago
Design and analysis of optimal adaptive de-jitter buffers
In order to transfer voice or some other application requiring real-time delivery over a packet network, we need a de-jitter buffer to eliminate delay jitters. An important design...
Gagan L. Choudhury, Robert G. Cole
95
Voted
ICCV
2005
IEEE
16 years 5 days ago
Building a Classification Cascade for Visual Identification from One Example
Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...
GECCO
2010
Springer
244views Optimization» more  GECCO 2010»
14 years 10 months ago
Implicit fitness and heterogeneous preferences in the genetic algorithm
This paper takes an economic approach to derive an evolutionary learning model based entirely on the endogenous employment of genetic operators in the service of self-interested a...
Justin T. H. Smith