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» Reconfiguring a state machine
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ESWS
2010
Springer
15 years 6 months ago
Scalable and Parallel Reasoning in the Semantic Web
Abstract. The current state of the art regarding scalable reasoning consists of programs that run on a single machine. When the amount of data is too large, or the logic is too com...
Jacopo Urbani
ICML
2008
IEEE
16 years 3 months ago
Sample-based learning and search with permanent and transient memories
We present a reinforcement learning architecture, Dyna-2, that encompasses both samplebased learning and sample-based search, and that generalises across states during both learni...
David Silver, Martin Müller 0003, Richard S. ...
VMCAI
2009
Springer
15 years 9 months ago
An Abort-Aware Model of Transactional Programming
There has been a lot of recent research on transaction-based concurrent programming, aimed at offering an easier concurrent programming paradigm that enables programmers to better...
Kousha Etessami, Patrice Godefroid
ICML
1989
IEEE
15 years 6 months ago
Uncertainty Based Selection of Learning Experiences
The training experiences needed by a learning system may be selected by either an external agent or the system itself. We show that knowledge of the current state of the learner&#...
Paul D. Scott, Shaul Markovitch
COLING
2008
15 years 4 months ago
A Hybrid Generative/Discriminative Framework to Train a Semantic Parser from an Un-annotated Corpus
We propose a hybrid generative/discriminative framework for semantic parsing which combines the hidden vector state (HVS) model and the hidden Markov support vector machines (HMSV...
Deyu Zhou, Yulan He