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» Approximation algorithms for projective clustering
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104
Voted
NIPS
1993
15 years 2 months ago
Convergence of Stochastic Iterative Dynamic Programming Algorithms
Recent developments in the area of reinforcement learning have yielded a number of new algorithms for the prediction and control of Markovian environments. These algorithms,includ...
Tommi Jaakkola, Michael I. Jordan, Satinder P. Sin...
100
Voted
SDM
2007
SIAM
177views Data Mining» more  SDM 2007»
15 years 2 months ago
Multi-way Clustering on Relation Graphs
A number of real-world domains such as social networks and e-commerce involve heterogeneous data that describes relations between multiple classes of entities. Understanding the n...
Arindam Banerjee, Sugato Basu, Srujana Merugu
GBRPR
2009
Springer
15 years 5 months ago
A Recursive Embedding Approach to Median Graph Computation
The median graph has been shown to be a good choice to infer a representative of a set of graphs. It has been successfully applied to graph-based classification and clustering. Ne...
Miquel Ferrer, Dimosthenis Karatzas, Ernest Valven...
HPDC
2000
IEEE
15 years 5 months ago
Performance Evaluation of a Firewall-Compliant Globus-based Wide-Area Cluster System
In this paper, we present a performance evaluation of a wide-area cluster system based on a rewallenabled Globus metacomputing toolkit. In order to establish communication links ...
Yoshio Tanaka, Motonori Hirano, Mitsuhisa Sato, Hi...
121
Voted
PODS
2003
ACM
143views Database» more  PODS 2003»
16 years 26 days ago
Maintaining variance and k-medians over data stream windows
The sliding window model is useful for discounting stale data in data stream applications. In this model, data elements arrive continually and only the most recent N elements are ...
Brian Babcock, Mayur Datar, Rajeev Motwani, Liadan...