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» Lazy Learning for Improving Ranking of Decision Trees
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ECML
2003
Springer
14 years 21 days ago
Optimizing Local Probability Models for Statistical Parsing
Abstract. This paper studies the properties and performance of models for estimating local probability distributions which are used as components of larger probabilistic systems â€...
Kristina Toutanova, Mark Mitchell, Christopher D. ...
AAAI
2006
13 years 8 months ago
Cost-Sensitive Test Strategies
In medical diagnosis doctors must often determine what medical tests (e.g., X-ray, blood tests) should be ordered for a patient to minimize the total cost of medical tests and mis...
Shengli Sheng, Charles X. Ling, Ailing Ni, Shichao...
IUI
2000
ACM
13 years 11 months ago
Adaptation in automated user-interface design
Design problems involve issues of stylistic preference and flexible standards of success; human designers often proceed by intuition and are unaware of following any strict rule-b...
Jacob Eisenstein, Angel R. Puerta
CORR
2008
Springer
159views Education» more  CORR 2008»
13 years 7 months ago
Face Detection Using Adaboosted SVM-Based Component Classifier
: Boosting is a general method for improving the accuracy of any given learning algorithm. In this paper we employ combination of Adaboost with Support Vector Machine (SVM) as comp...
Seyyed Majid Valiollahzadeh, Abolghasem Sayadiyan,...
EDM
2009
132views Data Mining» more  EDM 2009»
13 years 5 months ago
Predicting Students Drop Out: A Case Study
The monitoring and support of university freshmen is considered very important at many educational institutions. In this paper we describe the results of the educational data minin...
Gerben Dekker, Mykola Pechenizkiy, Jan Vleeshouwer...