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» Incremental Algorithms for Approximate Compilation
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ECAI
2006
Springer
14 years 6 days ago
Least Squares SVM for Least Squares TD Learning
Abstract. We formulate the problem of least squares temporal difference learning (LSTD) in the framework of least squares SVM (LS-SVM). To cope with the large amount (and possible ...
Tobias Jung, Daniel Polani
AAAI
2010
13 years 10 months ago
Efficient Belief Propagation for Utility Maximization and Repeated Inference
Many problems require repeated inference on probabilistic graphical models, with different values for evidence variables or other changes. Examples of such problems include utilit...
Aniruddh Nath, Pedro Domingos
CIDR
2007
111views Algorithms» more  CIDR 2007»
13 years 10 months ago
Moirae: History-Enhanced Monitoring
In this paper, we investigate the benefits and challenges of integrating history into a near-real-time monitoring system; and present a general purpose continuous monitoring engi...
Magdalena Balazinska, YongChul Kwon, Nathan Kuchta...
JISE
2010
144views more  JISE 2010»
13 years 3 months ago
Variant Methods of Reduced Set Selection for Reduced Support Vector Machines
In dealing with large datasets the reduced support vector machine (RSVM) was proposed for the practical objective to overcome the computational difficulties as well as to reduce t...
Li-Jen Chien, Chien-Chung Chang, Yuh-Jye Lee
TKDE
2008
133views more  TKDE 2008»
13 years 8 months ago
Streaming Time Series Summarization Using User-Defined Amnesic Functions
The past decade has seen a wealth of research on time series representations, because the manipulation, storage, and indexing of large volumes of raw time series data is impractica...
Themis Palpanas, Michail Vlachos, Eamonn J. Keogh,...