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» Learning Stochastic Logical Automaton
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Book
534views
16 years 9 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
88
Voted
EMNLP
2004
15 years 1 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»
14 years 6 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»
15 years 4 months 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
15 years 3 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...