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» Finite State Machines
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83
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ICML
1989
IEEE
15 years 4 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
113
Voted
COLING
2008
15 years 2 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
215
Voted
ALT
2011
Springer
14 years 24 days ago
On the Expressive Power of Deep Architectures
Deep architectures are families of functions corresponding to deep circuits. Deep Learning algorithms are based on parametrizing such circuits and tuning their parameters so as to ...
Yoshua Bengio, Olivier Delalleau
131
Voted
AIHC
2007
Springer
15 years 7 months ago
Affect Detection and an Automated Improvisational AI Actor in E-Drama
Enabling machines to understand emotions and feelings of the human users in their natural language textual input during interaction is a challenging issue in Human Computing. Our w...
Li Zhang, Marco Gillies, John A. Barnden, Robert J...
FMCAD
2004
Springer
15 years 6 months ago
Proof Styles in Operational Semantics
Abstract. We relate two well-studied methodologies in deductive verification of operationally modeled sequential programs, namely the use of inductive invariants and clock functio...
Sandip Ray, J. Strother Moore