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ICML
2009
IEEE
16 years 7 months ago
Multi-instance learning by treating instances as non-I.I.D. samples
Previous studies on multi-instance learning typically treated instances in the bags as independently and identically distributed. The instances in a bag, however, are rarely indep...
Zhi-Hua Zhou, Yu-Yin Sun, Yu-Feng Li
VLSID
2007
IEEE
91views VLSI» more  VLSID 2007»
16 years 7 months ago
Reusing Learned Information in SAT-based ATPG
The robustness of engines for ATPG has to be improved to cope with the growing size of circuits. Recently, SAT-based ATPG approaches have been shown to be very robust even on larg...
Görschwin Fey, Rolf Drechsler, Tim Warode
PAMI
2006
127views more  PAMI 2006»
15 years 6 months ago
Incremental Nonlinear Dimensionality Reduction by Manifold Learning
Understanding the structure of multidimensional patterns, especially in unsupervised case, is of fundamental importance in data mining, pattern recognition and machine learning. Se...
Martin H. C. Law, Anil K. Jain
AAAI
2010
15 years 8 months ago
The Model-Based Approach to Autonomous Behavior: A Personal View
The selection of the action to do next is one of the central problems faced by autonomous agents. In AI, three approaches have been used to address this problem: the programming-b...
Hector Geffner
UAI
2003
15 years 8 months ago
On the Convergence of Bound Optimization Algorithms
Many practitioners who use EM and related algorithms complain that they are sometimes slow. When does this happen, and what can be done about it? In this paper, we study the gener...
Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahra...