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ECML
1993
Springer
15 years 10 months ago
Exploiting Context When Learning to Classify
This paper addresses the problem of classifying observations when features are context-sensitive, specifically when the testing set involves a context that is different from the t...
Peter D. Turney
EMNLP
2010
15 years 4 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
ICML
1996
IEEE
16 years 7 months ago
Learning Relational Concepts with Decision Trees
In this paper, we describe two di erent learning tasks for relational structures. When learning a classi er for structures, the relational structures in the training sets are clas...
Peter Geibel, Fritz Wysotzki
ICML
1994
IEEE
15 years 10 months ago
Reducing Misclassification Costs
We explore algorithms for learning classification procedures that attempt to minimize the cost of misclassifying examples. First, we consider inductive learning of classification ...
Michael J. Pazzani, Christopher J. Merz, Patrick M...
IJIM
2007
84views more  IJIM 2007»
15 years 6 months ago
Mobile e-learning course scenario model on PDA
: Web-based services mobile learning can enable collaborative learning and access to different information sources in actual problem-solving situations. The PDA’s are now designe...
Jeanne Schreurs