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ICML
2008
IEEE
16 years 7 months ago
Composite kernel learning
The Support Vector Machine (SVM) is an acknowledged powerful tool for building classifiers, but it lacks flexibility, in the sense that the kernel is chosen prior to learning. Mul...
Marie Szafranski, Yves Grandvalet, Alain Rakotomam...
ICALP
1990
Springer
15 years 10 months ago
Determining the Separation of Preprocessed Polyhedra - A Unified Approach
We show how (now familiar) hierarchical representations of (convex) polyhedra can be used to answer various separation queries efficiently (in a number of cases, optimally). Our e...
David P. Dobkin, David G. Kirkpatrick
WIMOB
2008
IEEE
16 years 20 days ago
Rate Allocation with Lifetime Maximization and Fairness for Data Aggregation in Sensor Networks
—We consider the rate allocation problem for data aggregation in wireless sensor networks with two objectives: 1) maximizing the lifetime of a local aggregation cluster and, 2) a...
Shouwen Lai, Binoy Ravindran, Hyeonjoong Cho
GECCO
2005
Springer
197views Optimization» more  GECCO 2005»
15 years 11 months ago
Performance assessment of an artificial immune system multiobjective optimizer by two improved metrics
In this study, we introduce two improved assessment metrics of multiobjective optimizers, Nondominated Ratio and Spacing Distribution, and analyze their rationality and validity. ...
Maoguo Gong, Licheng Jiao, Haifeng Du, Ronghua Sha...
AAAI
2006
15 years 7 months ago
Targeting Specific Distributions of Trajectories in MDPs
We define TTD-MDPs, a novel class of Markov decision processes where the traditional goal of an agent is changed from finding an optimal trajectory through a state space to realiz...
David L. Roberts, Mark J. Nelson, Charles Lee Isbe...