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113
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KDD
2009
ACM
224views Data Mining» more  KDD 2009»
15 years 5 months ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...
118
Voted
IJCAI
2003
15 years 1 months ago
Integrating Background Knowledge Into Text Classification
We present a description of three different algorithms that use background knowledge to improve text classifiers. One uses the background knowledge as an index into the set of tra...
Sarah Zelikovitz, Haym Hirsh
CEC
2007
IEEE
15 years 4 months ago
Evolving hypernetworks for pattern classification
Abstract-- Hypernetworks consist of a large number of hyperedges that represent higher-order features sampled from training patterns. Evolutionary algorithms have been used as a me...
Joo-Kyung Kim, Byoung-Tak Zhang
108
Voted
ITS
2004
Springer
95views Multimedia» more  ITS 2004»
15 years 5 months ago
The Role of Domain Ontology in Knowledge Acquisition for ITSs
Abstract. There have been several attempts to automate knowledge acquisition for ITSs that teach procedural tasks. The goal of our project is to automate the acquisition of domain ...
Pramuditha Suraweera, Antonija Mitrovic, Brent Mar...
129
Voted
NIPS
2008
15 years 1 months ago
Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text
In this paper, we address the question of what kind of knowledge is generally transferable from unlabeled text. We suggest and analyze the semantic correlation of words as a gener...
Yi Zhang 0010, Jeff Schneider, Artur Dubrawski