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» Randomized Algorithms and Complexity Theory
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118
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ICML
2004
IEEE
16 years 4 months ago
SVM-based generalized multiple-instance learning via approximate box counting
The multiple-instance learning (MIL) model has been very successful in application areas such as drug discovery and content-based imageretrieval. Recently, a generalization of thi...
Qingping Tao, Stephen D. Scott, N. V. Vinodchandra...
127
Voted
GCC
2005
Springer
15 years 9 months ago
A Mathematical Foundation for Topology Awareness of P2P Overlay Networks
Abstract. In peer-to-peer (P2P) overlay networks, the mechanism of a peer randomly joining and leaving a network, causes a topology mismatch between the overlay and the underlying ...
Habib Rostami, Jafar Habibi
152
Voted
TCOM
2010
167views more  TCOM 2010»
15 years 2 months ago
On distributed scheduling in wireless networks exploiting broadcast and network coding
—In this paper, we consider cross-layer optimization in wireless networks with wireless broadcast advantage, focusing on the problem of distributed scheduling of broadcast links....
Tao Cui, Lijun Chen, Tracey Ho
172
Voted
ALT
2011
Springer
14 years 3 months ago
On Noise-Tolerant Learning of Sparse Parities and Related Problems
We consider the problem of learning sparse parities in the presence of noise. For learning parities on r out of n variables, we give an algorithm that runs in time poly log 1 δ , ...
Elena Grigorescu, Lev Reyzin, Santosh Vempala
152
Voted
SOFSEM
2000
Springer
15 years 7 months ago
Exhaustive Search, Combinatorial Optimization and Enumeration: Exploring the Potential of Raw Computing Power
For half a century since computers came into existence, the goal of finding elegant and efficient algorithms to solve "simple" (welldefined and well-structured) problems ...
Jürg Nievergelt