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ICML
2007
IEEE
16 years 7 months ago
Bottom-up learning of Markov logic network structure
Markov logic networks (MLNs) are a statistical relational model that consists of weighted firstorder clauses and generalizes first-order logic and Markov networks. The current sta...
Lilyana Mihalkova, Raymond J. Mooney
ISPD
2006
ACM
108views Hardware» more  ISPD 2006»
16 years 3 days ago
Statistical clock tree routing for robustness to process variations
Advances in VLSI technology make clock skew more susceptible to process variations. Notwithstanding efficient zero skew routing algorithms, clock skew still limits post-manufactu...
Uday Padmanabhan, Janet Meiling Wang, Jiang Hu
ECCV
2010
Springer
15 years 11 months ago
Energy Minimization Under Constraints on Label Counts
Abstract. Many computer vision problems such as object segmentation or reconstruction can be formulated in terms of labeling a set of pixels or voxels. In certain scenarios, we may...
ICDM
2002
IEEE
143views Data Mining» more  ICDM 2002»
15 years 11 months ago
A Hybrid Approach to Discover Bayesian Networks From Databases Using Evolutionary Programming
This paper describes a novel data mining approach that employs evolutionary programming to discover knowledge represented in Bayesian networks. There are two different approaches ...
Man Leung Wong, Shing Yan Lee, Kwong-Sak Leung
IJCAI
2007
15 years 7 months ago
A Heuristic Search Approach to Planning with Temporally Extended Preferences
In this paper we propose a suite of techniques for planning with temporally extended preferences (TEPs). To this end, we propose a method for compiling TEP planning problems into ...
Jorge A. Baier, Fahiem Bacchus, Sheila A. McIlrait...