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KDD
2006
ACM
153views Data Mining» more  KDD 2006»
16 years 7 months ago
Model compression
Often the best performing supervised learning models are ensembles of hundreds or thousands of base-level classifiers. Unfortunately, the space required to store this many classif...
Cristian Bucila, Rich Caruana, Alexandru Niculescu...
KDD
2003
ACM
210views Data Mining» more  KDD 2003»
16 years 7 months ago
Privacy-preserving k-means clustering over vertically partitioned data
Privacy and security concerns can prevent sharing of data, derailing data mining projects. Distributed knowledge discovery, if done correctly, can alleviate this problem. The key ...
Jaideep Vaidya, Chris Clifton
WWW
2009
ACM
16 years 1 months ago
Instance-based probabilistic reasoning in the semantic web
Most of the approaches for dealing with uncertainty in the Semantic Web rely on the principle that this uncertainty is already asserted. In this paper, we propose a new approach t...
Pedro Oliveira, Paulo Gomes
GECCO
2009
Springer
200views Optimization» more  GECCO 2009»
16 years 1 months ago
Apply ant colony optimization to Tetris
Tetris is a falling block game where the player’s objective is to arrange a sequence of different shaped tetrominoes smoothly in order to survive. In the intelligence games, ag...
Xingguo Chen, Hao Wang, Weiwei Wang, Yinghuan Shi,...
KCAP
2009
ACM
16 years 1 months ago
Knowledge integration across multiple texts
One of the grand challenges of AI is to build systems that learn by reading. The ideal system would construct a rich knowledge base capable of automated reasoning. We have built a...
Doo Soon Kim, Ken Barker, Bruce W. Porter