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» Comparative analysis of biclustering algorithms
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SIGIR
2000
ACM
15 years 9 months ago
SWAMI: a framework for collaborative filtering algorithm development and evaluation
We present a Java-based framework, SWAMI (Shared Wisdom through the Amalgamation of Many Interpretations) for building and studying collaborative filtering systems. SWAMI consist...
Danyel Fisher, Kris Hildrum, Jason I. Hong, Mark W...
139
Voted
HPCC
2007
Springer
15 years 8 months ago
A Highly Efficient Parallel Algorithm for H.264 Encoder Based on Macro-Block Region Partition
This paper proposes a highly efficient MBRP parallel algorithm for H.264 encoder, which is based on the analysis of data dependencies in H.264 encoder. In the algorithm, the video ...
Shuwei Sun, Dong Wang, Shuming Chen
ML
2006
ACM
142views Machine Learning» more  ML 2006»
15 years 4 months ago
The max-min hill-climbing Bayesian network structure learning algorithm
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
Ioannis Tsamardinos, Laura E. Brown, Constantin F....
PODC
2009
ACM
16 years 5 months ago
A distributed polylogarithmic time algorithm for self-stabilizing skip graphs
Peer-to-peer systems rely on scalable overlay networks that enable efficient routing between its members. Hypercubic topologies facilitate such operations while each node only nee...
Riko Jacob, Andréa W. Richa, Christian Sche...
KR
1994
Springer
15 years 8 months ago
Refinement Search as a Unifying Framework for Analyzing Planning Algorithms
Despite the long history of classical planning, there has been very little comparative analysis of the performance tradeoffs offered by the multitude of existing planning algorith...
Subbarao Kambhampati