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ACML
2009
Springer
13 years 12 months ago
Max-margin Multiple-Instance Learning via Semidefinite Programming
In this paper, we present a novel semidefinite programming approach for multiple-instance learning. We first formulate the multipleinstance learning as a combinatorial maximum marg...
Yuhong Guo
CDC
2010
IEEE
122views Control Systems» more  CDC 2010»
13 years 2 months ago
Closed-loop optimal experiment design: The partial correlation approach
Abstract-- We consider optimal experiment design for parametric prediction error system identification of linear timeinvariant systems in closed loop. The optimisation is performed...
Roland Hildebrand, Michel Gevers, Gabriel Solari
ECAI
2008
Springer
13 years 9 months ago
A new Approach for Solving Satisfiability Problems with Qualitative Preferences
The problem of expressing and solving satisfiability problems (SAT) with qualitative preferences is central in many areas of Computer Science and Artificial Intelligence. In previo...
Emanuele Di Rosa, Enrico Giunchiglia, Marco Marate...
CORR
2010
Springer
248views Education» more  CORR 2010»
13 years 8 months ago
Optimal Spectrum Sharing in MIMO Cognitive Radio Networks via Semidefinite Programming
Abstract--In cognitive radio (CR) networks with multipleinput multiple-output (MIMO) links, secondary users (SUs) can exploit "spectrum holes" in the space domain to acce...
Ying Jun Zhang, Anthony Man-Cho So
TSP
2010
13 years 2 months ago
Optimal linear fusion for distributed detection via semidefinite programming
Consider the problem of signal detection via multiple distributed noisy sensors. We propose a linear decision fusion rule to combine the local statistics from individual sensors i...
Zhi Quan, Wing-Kin Ma, Shuguang Cui, Ali H. Sayed