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ATAL
2009
Springer
15 years 10 months ago
Operators for propagating trust and their evaluation in social networks
Trust is a crucial basis for interactions among parties in large, open systems. Yet, the scale and dynamism of such systems make it infeasible for each party to have a direct basi...
Chung-Wei Hang, Yonghong Wang, Munindar P. Singh
141
Voted
ESANN
2008
15 years 5 months ago
Learning Data Representations with Sparse Coding Neural Gas
Abstract. We consider the problem of learning an unknown (overcomplete) basis from an unknown sparse linear combination. Introducing the "sparse coding neural gas" algori...
Kai Labusch, Erhardt Barth, Thomas Martinetz
137
Voted
CORR
2007
Springer
136views Education» more  CORR 2007»
15 years 3 months ago
Sparsity in time-frequency representations
We consider signals and operators in finite dimension which have sparse time-frequency representations. As main result we show that an S-sparse Gabor representation in Cn with re...
Götz E. Pfander, Holger Rauhut
ML
2002
ACM
168views Machine Learning» more  ML 2002»
15 years 3 months ago
On Average Versus Discounted Reward Temporal-Difference Learning
We provide an analytical comparison between discounted and average reward temporal-difference (TD) learning with linearly parameterized approximations. We first consider the asympt...
John N. Tsitsiklis, Benjamin Van Roy
124
Voted
ML
2002
ACM
146views Machine Learning» more  ML 2002»
15 years 3 months ago
Kernel Matching Pursuit
Matching Pursuit algorithms learn a function that is a weighted sum of basis functions, by sequentially appending functions to an initially empty basis, to approximate a target fu...
Pascal Vincent, Yoshua Bengio