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» Combinations of Weak Classifiers
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KDD
2002
ACM
119views Data Mining» more  KDD 2002»
14 years 9 months ago
Evaluating classifiers' performance in a constrained environment
In this paper, we focus on methodology of finding a classifier with a minimal cost in presence of additional performance constraints. ROCCH analysis, where accuracy and cost are i...
Anna Olecka
CIARP
2007
Springer
14 years 24 days ago
Bagging with Asymmetric Costs for Misclassified and Correctly Classified Examples
Abstract. Diversity is a key characteristic to obtain advantages of combining predictors. In this paper, we propose a modification of bagging to explicitly trade off diversity and ...
Ricardo Ñanculef, Carlos Valle, Héct...
JMM2
2008
160views more  JMM2 2008»
13 years 8 months ago
A Film Classifier Based on Low-level Visual Features
We propose an approach to classify the film classes by using low level features and visual features. This approach aims to classify the films into genres. Our current domain of stu...
Hui-Yu Huang, Weir-Sheng Shih, Wen-Hsing Hsu
KDD
2009
ACM
162views Data Mining» more  KDD 2009»
14 years 9 months ago
TrustWalker: a random walk model for combining trust-based and item-based recommendation
Collaborative filtering is the most popular approach to build recommender systems and has been successfully employed in many applications. However, it cannot make recommendations ...
Mohsen Jamali, Martin Ester
CG
2000
Springer
14 years 1 months ago
Chess Neighborhoods, Function Combination, and Reinforcement Learning
Abstract. Over the years, various research projects have attempted to develop a chess program that learns to play well given little prior knowledge beyond the rules of the game. Ea...
Robert Levinson, Ryan Weber