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TNN
2010
147views Management» more  TNN 2010»
15 years 24 days ago
State-space analysis of Boolean networks
This paper provides a comprehensive framework for the state space approach to Boolean networks. First, it surveys the authors' recent work on the topic: Using semitensor produ...
Daizhan Cheng, Hongsheng Qi
DAC
2005
ACM
16 years 7 months ago
Designing logic circuits for probabilistic computation in the presence of noise
As Si CMOS devices are scaled down into the nanoscale regime, current computer architecture approaches are reaching their practical limits. Future nano-architectures will confront...
Kundan Nepal, R. Iris Bahar, Joseph L. Mundy, Will...
KR
2010
Springer
15 years 11 months ago
Probabilistic Description Logics for Subjective Uncertainty
We propose a new family of probabilistic description logics (DLs) that, in contrast to most existing approaches, are derived in a principled way from Halpern’s probabilistic fi...
Carsten Lutz, Lutz Schröder
CORR
2000
Springer
120views Education» more  CORR 2000»
15 years 6 months ago
Scaling Up Inductive Logic Programming by Learning from Interpretations
When comparing inductive logic programming (ILP) and attribute-value learning techniques, there is a trade-off between expressive power and efficiency. Inductive logic programming ...
Hendrik Blockeel, Luc De Raedt, Nico Jacobs, Bart ...
LACL
2011
Springer
14 years 9 months ago
Using Logic in the Generation of Referring Expressions
The problem of generating referring expressions (GRE) is an important task in natural language generation. In this paper, we advocate for the use of logical languages in the output...
Carlos Areces, Santiago Figueira, Daniel Gor&iacut...