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INFOCOM
2005
IEEE
14 years 1 months ago
Hybrid search schemes for unstructured peer-to-peer networks
— We study hybrid search schemes for unstructured peer-to-peer networks. We quantify performance in terms of number of hits, network overhead, and response time. Our schemes comb...
Christos Gkantsidis, Milena Mihail, Amin Saberi
ECAI
2008
Springer
13 years 9 months ago
MTForest: Ensemble Decision Trees based on Multi-Task Learning
Many ensemble methods, such as Bagging, Boosting, Random Forest, etc, have been proposed and widely used in real world applications. Some of them are better than others on noisefre...
Qing Wang, Liang Zhang, Mingmin Chi, Jiankui Guo
AI
2005
Springer
13 years 7 months ago
The distributed breakout algorithms
We present a new series of distributed constraint satisfaction algorithms, the distributed breakout algorithms, which is inspired by local search algorithms for solving the constr...
Katsutoshi Hirayama, Makoto Yokoo
SIGMOD
1998
ACM
99views Database» more  SIGMOD 1998»
14 years 2 days ago
CURE: An Efficient Clustering Algorithm for Large Databases
Clustering, in data mining, is useful for discovering groups and identifying interesting distributions in the underlying data. Traditional clustering algorithms either favor clust...
Sudipto Guha, Rajeev Rastogi, Kyuseok Shim
EURODAC
1995
IEEE
112views VHDL» more  EURODAC 1995»
13 years 11 months ago
On implementation choices for iterative improvement partitioning algorithms
Iterative improvement partitioning algorithms such as the FM algorithm of Fiduccia and Mattheyses 8 , the algorithm of Krishnamurthy 13 , and Sanchis's extensions of these al...
Lars W. Hagen, Dennis J.-H. Huang, Andrew B. Kahng