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» A Formal Model for Process Context Learning
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KI
2007
Springer
15 years 5 months ago
Extending Markov Logic to Model Probability Distributions in Relational Domains
Abstract. Markov logic, as a highly expressive representation formalism that essentially combines the semantics of probabilistic graphical models with the full power of first-orde...
Dominik Jain, Bernhard Kirchlechner, Michael Beetz

Publication
233views
13 years 10 months ago
Sparse reward processes
We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is relation among those tasks, then the information gained duri...
Christos Dimitrakakis
ICALT
2005
IEEE
15 years 5 months ago
Phoenix Tool: A Support to Semantic Learning Model
Share and reuse of learning objects are an important issue, that are not solved by simply adding a metadata description. Their contextualisation as well as their level of granular...
Emmanuel Fernandes, Hend Madhour, Sami Miniaoui, M...
IDEAS
2003
IEEE
73views Database» more  IDEAS 2003»
15 years 5 months ago
Operations on Metamodels in the Context of a UML-Based Metamodeling Architecture
In the context of information system engineering, we propose a four-layer metamodeling architecture with a comprehensive set of operations on metamodels. Our architecture enables ...
Marie-Noëlle Terrasse, George Becker, Marinet...
ACL
1997
15 years 1 months ago
Approximating Context-Free Grammars with a Finite-State Calculus
Although adequate models of human language for syntactic analysis and semantic interpretation are of at least contextfree complexity, for applications such as speech processing in...
Edmund Grimley-Evans