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» Using State Modules for Adaptive Query Processing
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TNN
1998
92views more  TNN 1998»
13 years 7 months ago
Inductive inference from noisy examples using the hybrid finite state filter
—Recurrent neural networks processing symbolic strings can be regarded as adaptive neural parsers. Given a set of positive and negative examples, picked up from a given language,...
Marco Gori, Marco Maggini, Enrico Martinelli, Giov...
DEXAW
2004
IEEE
206views Database» more  DEXAW 2004»
13 years 11 months ago
Adaptive Query Processing and the Grid: Opportunities and Challenges
Grid technologies have been developed in response to an increase in demand for computing applications designed to yield the benefits from collaboration, data sharing and sophistic...
Anastasios Gounaris, Norman W. Paton, Rizos Sakell...
ICASSP
2008
IEEE
14 years 2 months ago
Modulation analysis of speech through orthogonal FIR filterbank optimization
Newborns must learn to structure incoming acoustic information into segments, words, phrases, etc., before they can start to learn language. This process is thought to rely on mod...
Jonathan Le Roux, Hirokazu Kameoka, Nobutaka Ono, ...
ALT
2007
Springer
14 years 4 months ago
Pseudometrics for State Aggregation in Average Reward Markov Decision Processes
We consider how state similarity in average reward Markov decision processes (MDPs) may be described by pseudometrics. Introducing the notion of adequate pseudometrics which are we...
Ronald Ortner
GLOBECOM
2008
IEEE
14 years 2 months ago
A Supervised Learning Approach to Adaptation in Practical MIMO-OFDM Wireless Systems
—MIMO-OFDM wireless systems require adaptive modulation and coding based on channel state information (CSI) to maximize throughput in changing wireless channels. Traditional adap...
Robert C. Daniels, Constantine Caramanis, Robert W...