55 search results - page 9 / 11 » Real-Time Robot Learning with Locally Weighted Statistical L... |
UAI
2000
13 years 6 months ago
2000
This paper is about the use of metric data structures in high-dimensionalor non-Euclidean space to permit cached sufficientstatisticsaccelerationsof learning algorithms. It has re...
ECAL
1999
Springer
13 years 9 months ago
1999
Springer
Abstract. This paper is concerned with arti cial evolution of neurocontrollers with adaptive synapses for autonomous mobile robots. The method consists of encoding on the genotype ...
ICML
2006
IEEE
14 years 6 months ago
2006
IEEE
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
MLDM
2005
Springer
13 years 10 months ago
2005
Springer
Assessing the similarity between objects is a prerequisite for many data mining techniques. This paper introduces a novel approach to learn distance functions that maximizes the c...
ICANN
2005
Springer
13 years 11 months ago
2005
Springer
In this work, Self Organizing Map (SOM) is used in order to classify the types of defections in electrical systems, known as Power Quality (PQ) events. The features for classificat...