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» Terminating Decision Algorithms Optimally
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CIKM
2009
Springer
15 years 9 months ago
Learning to rank from Bayesian decision inference
Ranking is a key problem in many information retrieval (IR) applications, such as document retrieval and collaborative filtering. In this paper, we address the issue of learning ...
Jen-Wei Kuo, Pu-Jen Cheng, Hsin-Min Wang
AAAI
2000
15 years 4 months ago
Depth-First Branch-and-Bound versus Local Search: A Case Study
Depth-first branch-and-bound (DFBnB) is a complete algorithm that is typically used to find optimal solutions of difficult combinatorial optimization problems. It can also be adap...
Weixiong Zhang
MTA
2007
140views more  MTA 2007»
15 years 2 months ago
Motion mapping and mode decision for MPEG-2 to H.264/AVC transcoding
This paper describes novel transcoding techniques aimed for low-complexity MPEG-2 to H.264/AVC transcoding. An important application for this type of conversion is efficient stor...
Jun Xin, Jianjun Li, Anthony Vetro, Shun-ichi Seki...
PODC
2004
ACM
15 years 8 months ago
Byzantine disk paxos: optimal resilience with byzantine shared memory
We present Byzantine Disk Paxos, an asynchronous shared-memory consensus algorithm that uses a collection of n > 3t disks, t of which may fail by becoming non-responsive or arb...
Ittai Abraham, Gregory Chockler, Idit Keidar, Dahl...
INFORMATICASI
1998
122views more  INFORMATICASI 1998»
15 years 2 months ago
Experimental Evaluation of Three Partition Selection Criteria for Decision Table Decomposition
Decision table decomposition is a machine learning approach that decomposes a given decision table into an equivalent hierarchy of decision tables. The approach aims to discover d...
Blaz Zupan, Marko Bohanec