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» Prediction on Spike Data Using Kernel Algorithms
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PRL
2000
76views more  PRL 2000»
13 years 7 months ago
Road sign classification using Laplace kernel classifier
Driver support systems of intelligent vehicles will predict potentially dangerous situations in heavy traffic, help with navigation and vehicle guidance and interact with a human ...
Pavel Paclík, Jana Novovicová, Pavel...
NIPS
2007
13 years 9 months ago
Neural characterization in partially observed populations of spiking neurons
Point process encoding models provide powerful statistical methods for understanding the responses of neurons to sensory stimuli. Although these models have been successfully appl...
Jonathan Pillow, Peter E. Latham
QRE
2008
140views more  QRE 2008»
13 years 7 months ago
Discrete mixtures of kernels for Kriging-based optimization
: Kriging-based exploration strategies often rely on a single Ordinary Kriging model which parametric covariance kernel is selected a priori or on the basis of an initial data set....
David Ginsbourger, Céline Helbert, Laurent ...
SAC
2006
ACM
14 years 1 months ago
Privacy-preserving SVM using nonlinear kernels on horizontally partitioned data
Traditional Data Mining and Knowledge Discovery algorithms assume free access to data, either at a centralized location or in federated form. Increasingly, privacy and security co...
Hwanjo Yu, Xiaoqian Jiang, Jaideep Vaidya
ICML
2002
IEEE
14 years 8 months ago
Kernels for Semi-Structured Data
Semi-structured data such as XML and HTML is attracting considerable attention. It is important to develop various kinds of data mining techniques that can handle semistructured d...
Hisashi Kashima, Teruo Koyanagi