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CIKM
2001
Springer
16 years 3 days ago
Selecting Relevant Instances for Efficient and Accurate Collaborative Filtering
Collaborative filtering uses a database about consumers’ preferences to make personal product recommendations and is achieving widespread success in both E-Commerce and Informat...
Kai Yu, Xiaowei Xu, Martin Ester, Hans-Peter Krieg...
AMET
1998
Springer
15 years 12 months ago
Bid Evaluation and Selection in the MAGNET Automated Contracting System
We present an approach to the bid-evaluation problem in a system for multi-agent contract negotiation, called MAGNET. The MAGNET market infrastructure provides support for a variet...
Erik S. Steinmetz, John Collins, Scott Jamison, Ra...
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 11 months ago
Selecting for evolvable representations
Evolutionary algorithms tend to produce solutions that are not evolvable: Although current fitness may be high, further search is impeded as the effects of mutation and crossover ...
Joseph Reisinger, Risto Miikkulainen
ICCAD
1994
IEEE
119views Hardware» more  ICCAD 1994»
15 years 11 months ago
Adaptive cut line selection in min-cut placement for large scale sea-of-gates arrays
We present a new min-cut based placement algorithm for large scale sea-of-gates arrays. In the past all such algorithms used a xed cut line sequence that is determined before min...
Kazuhiro Takahashi, Kazuo Nakajima, Masayuki Terai...
ISMB
1993
15 years 9 months ago
Protein Structure Prediction: Selecting Salient Features from Large Candidate Pools
Weintroduce a parallel approach, "DT-SELECT," for selecting features used by inductive learning algorithms to predict protein secondary structure. DT-SELECTis able to ra...
Kevin J. Cherkauer, Jude W. Shavlik