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EH
1999
IEEE
351views Hardware» more  EH 1999»
15 years 9 months ago
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...
ECTEL
2008
Springer
15 years 6 months ago
A Goal-oriented Authoring Approach to Design, Share and Reuse Learning Scenarios
This paper presents our research works and our proposal : ISiS model (Intentions, Strategies, interactional Situations), a conceptual framework elaborated to structure the design o...
Valérie Emin
COLING
2002
15 years 4 months ago
A Comparative Evaluation of Data-driven Models in Translation Selection of Machine Translation
We present a comparative evaluation of two data-driven models used in translation selection of English-Korean machine translation. Latent semantic analysis(LSA) and probabilistic ...
Yuseop Kim, Jeong Ho Chang, Byoung-Tak Zhang
ICANNGA
2009
Springer
212views Algorithms» more  ICANNGA 2009»
15 years 11 months ago
Evolutionary Regression Modeling with Active Learning: An Application to Rainfall Runoff Modeling
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...
Ivo Couckuyt, Dirk Gorissen, Hamed Rouhani, Eric L...
ICML
2003
IEEE
16 years 5 months ago
On Kernel Methods for Relational Learning
Kernel methods have gained a great deal of popularity in the machine learning community as a method to learn indirectly in highdimensional feature spaces. Those interested in rela...
Chad M. Cumby, Dan Roth