559 search results - page 82 / 112 » Neural methods for non-standard data |
101
click to vote
IWANN
2005
Springer
15 years 7 months ago
2005
Springer
Abstract. This paper presents k-NN as an approximator for time series prediction problems. The main advantage of this approximator is its simplicity. Despite the simplicity, k-NN c...
141
click to vote
SETN
2004
Springer
15 years 7 months ago
2004
Springer
Abstract. Single classifiers, such as Neural Networks, Support Vector Machines, Decision Trees and other, can be used to perform classification of data for relatively simple proble...
92
Voted
MLDM
2001
Springer
15 years 6 months ago
2001
Springer
Abstract. This paper proposes a general local learning framework to effectively alleviate the complexities of classifier design by means of “divide and conquer” principle and ...
132
click to vote
ICANN
2010
Springer
15 years 3 months ago
2010
Springer
Learning processes allow the central nervous system to learn relationships between stimuli. Even stimuli from different modalities can easily be associated, and these associations ...
120
click to vote
NECO
2006
15 years 1 months ago
2006
The application of boosting technique to the regression problems has received relatively little attention in contrast to the research aimed at classification problems. This paper ...