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» Learning Stochastic Logical Automaton
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Book
534views
15 years 5 months ago
Neural Networks - A Systematic Introduction
This book covers the following topics: The biological paradigm, Threshold logic, Weighted Networks, The Perceptron, Perceptron learning, Unsupervised learning and clustering algori...
Raul Rojas
EMNLP
2004
13 years 8 months ago
Induction of Greedy Controllers for Deterministic Treebank Parsers
Most statistical parsers have used the grammar induction approach, in which a stochastic grammar is induced from a treebank. An alternative approach is to induce a controller for ...
Tom Kalt
JCST
2010
153views more  JCST 2010»
13 years 2 months ago
Model Failure and Context Switching Using Logic-Based Stochastic Models
Abstract We define a notion of context that represents invariant, stable-over-time behavior in an environment and we propose an algorithm for detecting context changes in a stream ...
Nikita A. Sakhanenko, George F. Luger
CPE
2003
Springer
149views Hardware» more  CPE 2003»
14 years 21 days ago
Logical and Stochastic Modeling with SMART
We describe the main features of SmArT, a software package providing a seamless environment for the logic and probabilistic analysis of complex systems. SmArT can combine differen...
Gianfranco Ciardo, R. L. Jones III, Andrew S. Mine...
DSN
2004
IEEE
13 years 11 months ago
Model Checking Action- and State-Labelled Markov Chains
In this paper we introduce the logic asCSL, an extension of continuous stochastic logic (CSL), which provides powerful means to characterise execution paths of action- and state-l...
Christel Baier, Lucia Cloth, Boudewijn R. Haverkor...