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» Approximate Learning of Dynamic Models
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PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
15 years 4 months ago
Gaussian Processes for Sample Efficient Reinforcement Learning with RMAX-Like Exploration
Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
Tobias Jung, Peter Stone
LATA
2009
Springer
16 years 1 months ago
Prediction of Creole Emergence in Spatial Language Dynamics
Creole is a new born language emerging in most cases where language contact takes place. Simulating behaviors that creole communities are formed in some environments, we could cont...
Makoto Nakamura, Takashi Hashimoto, Satoshi Tojo
DAWAK
2005
Springer
15 years 12 months ago
A Decremental Algorithm for Maintaining Frequent Itemsets in Dynamic Databases
Data mining and machine learning must confront the problem of pattern maintenance because data updating is a fundamental operation in data management. Most existing data-mining alg...
Shichao Zhang, Xindong Wu, Jilian Zhang, Chengqi Z...
168
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ISWC
2003
IEEE
15 years 11 months ago
Unsupervised, Dynamic Identification of Physiological and Activity Context in Wearable Computing
Context-aware computing describes the situation where a wearable / mobile computer is aware of its user’s state and surroundings and modifies its behavior based on this informat...
Andreas Krause, Daniel P. Siewiorek, Asim Smailagi...
DATE
2007
IEEE
126views Hardware» more  DATE 2007»
16 years 19 days ago
WAVSTAN: waveform based variational static timing analysis
— We present a waveform based variational static timing analysis methodology. It is a timing paradigm that lies midway between convention static delay approximations and full dyn...
Saurabh K. Tiwary, Joel R. Phillips