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CORR
2011
Springer
177views Education» more  CORR 2011»
13 years 2 months ago
Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS
Markov Logic Networks (MLNs) have emerged as a powerful framework that combines statistical and logical reasoning; they have been applied to many data intensive problems including...
Feng Niu, Christopher Ré, AnHai Doan, Jude ...
ICIP
2006
IEEE
14 years 9 months ago
Segmentation and Fuzzy-Logic Classification of M-FISH Chromosome Images
Multicolor fluorescence in-situ hybridization (M-FISH) technique provides color karyotyping that allows simultaneous analysis of numerical and structural abnormalities of whole hu...
Hyohoon Choi, Kenneth R. Castleman, Alan C. Bovik
IDEAS
1997
IEEE
110views Database» more  IDEAS 1997»
13 years 11 months ago
Accommodating Logical Logging under Fuzzy Checkpointing in Main Memory Databases
This paper presents a simple and effective method to reduce the size of log data for recovery in main memory databases. Fuzzy checkpointing is known to be very efficient in main ...
Seung-Kyoon Woo, Myoung-Ho Kim, Yoon-Joon Lee
ICLP
2010
Springer
13 years 11 months ago
A Logical Paradigm for Systems Biology (Invited Talk)
[6]. An SBML model can be interpreted in Biocham at three abstraction levels: • the Boolean semantics (asynchronuous Boolean state transitions on the presence/absence of molecule...
François Fages
AUTOMATICA
1999
145views more  AUTOMATICA 1999»
13 years 7 months ago
Control of systems integrating logic, dynamics, and constraints
This paper proposes a framework for modeling and controlling systems described by interdependent physical laws, logic rules, and operating constraints, denoted as mixed logical dy...
Alberto Bemporad, Manfred Morari