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» Kernel bandwidth optimization in spike rate estimation
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JMLR
2006
143views more  JMLR 2006»
13 years 5 months ago
Consistency and Convergence Rates of One-Class SVMs and Related Algorithms
We determine the asymptotic behaviour of the function computed by support vector machines (SVM) and related algorithms that minimize a regularized empirical convex loss function i...
Régis Vert, Jean-Philippe Vert
ACCV
2009
Springer
13 years 12 months ago
Evolving Mean Shift with Adaptive Bandwidth: A Fast and Noise Robust Approach
Abstract. This paper presents a novel nonparametric clustering algorithm called evolving mean shift (EMS) algorithm. The algorithm iteratively shrinks a dataset and generates well ...
Qi Zhao, Zhi Yang, Hai Tao, Wentai Liu
JMLR
2012
11 years 7 months ago
Minimax-Optimal Rates For Sparse Additive Models Over Kernel Classes Via Convex Programming
Sparse additive models are families of d-variate functions with the additive decomposition f∗ = ∑j∈S f∗ j , where S is an unknown subset of cardinality s d. In this paper,...
Garvesh Raskutti, Martin J. Wainwright, Bin Yu
IJON
2002
91views more  IJON 2002»
13 years 5 months ago
Information transmission by stochastic synapses with short-term depression: neural coding and optimization
The ability of dynamic synapses with short-term depression to transmit the information present in the presynaptic spike train to the postsynaptic neuron is discussed. Both by mini...
Jaime de la Rocha, Angel Nevado, Néstor Par...
TIT
2002
107views more  TIT 2002»
13 years 5 months ago
Wavelet deconvolution
Abstract--This paper studies the issue of optimal deconvolution density estimation using wavelets. The approach taken here can be considered as orthogonal series estimation in the ...
Jianqing Fan, Ja-Yong Koo