Sciweavers

941 search results - page 90 / 189
» Adaptive Learning from Evolving Data Streams
Sort
View
114
Voted
NIPS
2008
15 years 2 months ago
An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis
We study the problem of domain transfer for a supervised classification task in mRNA splicing. We consider a number of recent domain transfer methods from machine learning, includ...
Gabriele Schweikert, Christian Widmer, Bernhard Sc...
112
Voted
MICAI
2005
Springer
15 years 6 months ago
Modelling Human Intelligence: A Learning Mechanism
We propose a novel, high-level model of human learning and cognition, based on association forming. The model configures any input data stream featuring a high incidence of repeti...
Enrique Carlos Segura, Robin W. Whitty
106
Voted
ICCS
2007
Springer
15 years 4 months ago
Adaptive Sparse Grid Classification Using Grid Environments
Common techniques tackling the task of classification in data mining employ ansatz functions associated to training data points to fit the data as well as possible. Instead, the fe...
Dirk Pflüger, Ioan Lucian Muntean, Hans-Joach...
ANNPR
2008
Springer
15 years 2 months ago
Supervised Incremental Learning with the Fuzzy ARTMAP Neural Network
Abstract. Automatic pattern classifiers that allow for on-line incremental learning can adapt internal class models efficiently in response to new information without retraining fr...
Jean-François Connolly, Eric Granger, Rober...
AMR
2005
Springer
137views Multimedia» more  AMR 2005»
15 years 6 months ago
Information Retrieval of Sequential Data in Heterogeneous XML Databases
The XML language is a W3C standard sustained by both the industry and the scientific community. Therefore, the available information annotated in XML keeps and will keep increasing...
Eugen Popovici, Pierre-Francois Marteau, Gildas M&...