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ICML
2007
IEEE
16 years 6 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
WWW
2006
ACM
16 years 6 months ago
Logical structure based semantic relationship extraction from semi-structured documents
Addressed in this paper is the issue of semantic relationship extraction from semi-structured documents. Many research efforts have been made so far on the semantic information ex...
Kuo Zhang, Gang Wu, Juan-Zi Li
GLVLSI
2007
IEEE
167views VLSI» more  GLVLSI 2007»
16 years 5 days ago
A new approach to logic synthesis of multi-output boolean functions on pal-based CPLDS
A PAL-based logic block is the core of great majority of contemporary CPLD devices. The purpose of the paper is to present a new approach to multi-level synthesis for PAL-based CP...
Dariusz Kania
FMCO
2007
Springer
118views Formal Methods» more  FMCO 2007»
16 years 16 hour ago
Coordination: Reo, Nets, and Logic
This article considers the coordination language Reo, a Petri net variant called zero-safe nets, and intuitionistic temporal linear logic (ITLL). The first part examines the seman...
Dave Clarke
ICTAI
2005
IEEE
15 years 11 months ago
Planning with POMDPs Using a Compact, Logic-Based Representation
Partially Observable Markov Decision Processes (POMDPs) provide a general framework for AI planning, but they lack the structure for representing real world planning problems in a...
Chenggang Wang, James G. Schmolze