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KDD
2004
ACM
158views Data Mining» more  KDD 2004»
14 years 7 months ago
A generalized maximum entropy approach to bregman co-clustering and matrix approximation
Co-clustering is a powerful data mining technique with varied applications such as text clustering, microarray analysis and recommender systems. Recently, an informationtheoretic ...
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Gho...
STACS
2009
Springer
14 years 2 months ago
Semi-Online Preemptive Scheduling: One Algorithm for All Variants
We present a unified optimal semi-online algorithm for preemptive scheduling on uniformly related machines with the objective to minimize the makespan. This algorithm works for a...
Tomás Ebenlendr, Jiri Sgall
ICDCN
2009
Springer
14 years 16 hour ago
Optimizing Multi-hop Queries in ZigBee Based Multi-sink Sensor Networks
Wireless sensor networks with multiple users collecting data directly from the sensors have many potential applications. An important problem is to allocate for each user a query r...
Bing Han, Gwendal Simon
WEA
2007
Springer
116views Algorithms» more  WEA 2007»
14 years 1 months ago
Optimal Edge Deletions for Signed Graph Balancing
The Balanced Subgraph problem (edge deletion variant) asks for a 2-coloring of a graph that minimizes the inconsistencies with given edge labels. It has applications in social netw...
Falk Hüffner, Nadja Betzler, Rolf Niedermeier
AAAI
2010
13 years 8 months ago
Reinforcement Learning via AIXI Approximation
This paper introduces a principled approach for the design of a scalable general reinforcement learning agent. This approach is based on a direct approximation of AIXI, a Bayesian...
Joel Veness, Kee Siong Ng, Marcus Hutter, David Si...