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179
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ICRA
2010
IEEE
128views Robotics» more  ICRA 2010»
15 years 6 months ago
A game-theoretic procedure for learning hierarchically structured strategies
— This paper addresses the problem of acquiring a hierarchically structured robotic skill in a nonstationary environment. This is achieved through a combination of learning primi...
Benjamin Rosman, Subramanian Ramamoorthy
ECTEL
2009
Springer
15 years 5 months ago
Ontology Enrichment with Social Tags for eLearning
One of the objectives of this paper is to verify whether it is possible to extract meaningful related tags from a limited set of tagged resources and from resources tagged by only ...
Paola Monachesi, Thomas Markus, Eelco Mossel
AAAI
2011
14 years 7 months ago
CCRank: Parallel Learning to Rank with Cooperative Coevolution
We propose CCRank, the first parallel algorithm for learning to rank, targeting simultaneous improvement in learning accuracy and efficiency. CCRank is based on cooperative coev...
Shuaiqiang Wang, Byron J. Gao, Ke Wang, Hady Wiraw...
CORR
2012
Springer
214views Education» more  CORR 2012»
14 years 3 months ago
Stochastic Low-Rank Kernel Learning for Regression
We present a novel approach to learn a kernelbased regression function. It is based on the use of conical combinations of data-based parameterized kernels and on a new stochastic ...
Pierre Machart, Thomas Peel, Liva Ralaivola, Sandr...
196
Voted
ICIP
2008
IEEE
16 years 1 months ago
Incorporating known features into a total variation dictionary model for source separation
The goal of this paper is to investigate the impact of dictionary choosing for a total variation dictionary model. After theoretical analysis, we present the experiments in which ...
Tieyong Zeng