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SDM
2008
SIAM
144views Data Mining» more  SDM 2008»
15 years 8 months ago
Semi-supervised Multi-label Learning by Solving a Sylvester Equation
Multi-label learning refers to the problems where an instance can be assigned to more than one category. In this paper, we present a novel Semi-supervised algorithm for Multi-labe...
Gang Chen, Yangqiu Song, Fei Wang, Changshui Zhang
MATES
2005
Springer
16 years 2 days ago
The Distributed Weighing Problem: A Lesson in Cooperation Without Communication
Abstract. Cooperative problem solving without communication is an oftenstudied field within multi-agent research. Realistic problems investigated in this particular field are compl...
Tibor Bosse, Mark Hoogendoorn, Catholijn M. Jonker
TIT
2008
102views more  TIT 2008»
15 years 6 months ago
Extremal Problems of Information Combining
Abstract--In this paper, we study moments of soft bits of binary-input symmetric-output channels and solve some extremal problems of the moments. We use these results to solve the ...
Yibo Jiang, Alexei E. Ashikhmin, Ralf Koetter, And...
DAC
2008
ACM
16 years 7 months ago
Bi-decomposing large Boolean functions via interpolation and satisfiability solving
Boolean function bi-decomposition is a fundamental operation in logic synthesis. A function f(X) is bi-decomposable under a variable partition XA, XB, XC on X if it can be written...
Ruei-Rung Lee, Jie-Hong Roland Jiang, Wei-Lun Hung
ATAL
2007
Springer
16 years 23 days ago
On opportunistic techniques for solving decentralized Markov decision processes with temporal constraints
Decentralized Markov Decision Processes (DEC-MDPs) are a popular model of agent-coordination problems in domains with uncertainty and time constraints but very difficult to solve...
Janusz Marecki, Milind Tambe