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AI
2003
Springer
14 years 23 days ago
A Graph Based Backtracking Algorithm for Solving General CSPs
Many AI tasks can be formalized as constraint satisfaction problems (CSPs), which involve finding values for variables subject to constraints. While solving a CSP is an NP-complet...
Wanlin Pang, Scott D. Goodwin
INFOCOM
2010
IEEE
13 years 6 months ago
A General Algorithm for Interference Alignment and Cancellation in Wireless Networks
—Physical layer techniques have come a long way and can achieve close to Shannon capacity for single pointto-point transmissions. It is apparent that, to further improve network ...
Erran L. Li, Richard Alimi, Dawei Shen, Harish Vis...
STACS
2004
Springer
14 years 26 days ago
Matching Algorithms Are Fast in Sparse Random Graphs
We present an improved average case analysis of the maximum cardinality matching problem. We show that in a bipartite or general random graph on n vertices, with high probability ...
Holger Bast, Kurt Mehlhorn, Guido Schäfer, Hi...
KDD
1997
ACM
78views Data Mining» more  KDD 1997»
13 years 11 months ago
Mining Generalized Term Associations: Count Propagation Algorithm
We presenthere an approachand algorithm for mining generalizedterm associations.The problem is to find co-occurrencefrequenciesof terms, given a collection of documents eachwith r...
Jonghyun Kahng, Wen-Hsiang Kevin Liao, Dennis McLe...
CIKM
2009
Springer
14 years 2 months ago
A general magnitude-preserving boosting algorithm for search ranking
Traditional boosting algorithms for the ranking problems usually employ the pairwise approach and convert the document rating preference into a binary-value label, like RankBoost....
Chenguang Zhu, Weizhu Chen, Zeyuan Allen Zhu, Gang...