993 search results - page 187 / 199 » Learning RoboCup-Keepaway with Kernels |
210
click to vote
HASKELL
2006
ACM
15 years 12 months ago
2006
ACM
Many numerical algorithms are specified in terms of operations on vectors and matrices. Matrix operations can be executed extremely efficiently using specialized linear algebra k...
172
click to vote
ECML
2004
Springer
15 years 11 months ago
2004
Springer
This work presents a novel procedure for computing (1) distances between nodes of a weighted, undirected, graph, called the Euclidean Commute Time Distance (ECTD), and (2) a subspa...
197
click to vote
SIGMOD
2010
ACM
15 years 10 months ago
2010
ACM
Similarity search methods are widely used as kernels in various data mining and machine learning applications including those in computational biology, web search/clustering. Near...
197
click to vote
NECO
2011
15 years 26 days ago
2011
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
214
click to vote
TNN
2010
15 years 18 days ago
2010
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...