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» Graph-based induction and its applications
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PAKDD
2000
ACM
128views Data Mining» more  PAKDD 2000»
13 years 11 months ago
Efficient Detection of Local Interactions in the Cascade Model
Detection of interactions among data items constitutes an essential part of knowledge discovery. The cascade model is a rule induction methodology using levelwise expansion of a la...
Takashi Okada
EMNLP
2010
13 years 5 months ago
Improved Fully Unsupervised Parsing with Zoomed Learning
We introduce a novel training algorithm for unsupervised grammar induction, called Zoomed Learning. Given a training set T and a test set S, the goal of our algorithm is to identi...
Roi Reichart, Ari Rappoport
IJCAI
2007
13 years 9 months ago
Real Boosting a la Carte with an Application to Boosting Oblique Decision Tree
In the past ten years, boosting has become a major field of machine learning and classification. This paper brings contributions to its theory and algorithms. We first unify a ...
Claudia Henry, Richard Nock, Frank Nielsen
ISCAS
2005
IEEE
229views Hardware» more  ISCAS 2005»
14 years 1 months ago
Comparison of two class E amplifiers for EER transmitter
- This paper compares two types of class E power amplifier and studies their applicability in EER (Envelope Elimination and Restoration) transmitter. In EER applications one of the...
Antti Heiskanen, Timo Rahkonen
JIIS
2006
119views more  JIIS 2006»
13 years 7 months ago
Answering constraint-based mining queries on itemsets using previous materialized results
Abstract In recent years, researchers have begun to study inductive databases, a new generation of databases for leveraging decision support applications. In this context, the user...
Roberto Esposito, Rosa Meo, Marco Botta