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AI
1999
Springer
15 years 4 months ago
Learning by Discovering Concept Hierarchies
We present a new machine learning method that, given a set of training examples, induces a definition of the target concept in terms of a hierarchy of intermediate concepts and th...
Blaz Zupan, Marko Bohanec, Janez Demsar, Ivan Brat...
PAMI
2010
168views more  PAMI 2010»
15 years 3 months ago
Nonnegative Least-Correlated Component Analysis for Separation of Dependent Sources by Volume Maximization
—Although significant efforts have been made in developing nonnegative blind source separation techniques, accurate separation of positive yet dependent sources remains a challen...
Fa-Yu Wang, Chong-Yung Chi, Tsung-Han Chan, Yue Wa...
PKDD
2010
Springer
129views Data Mining» more  PKDD 2010»
15 years 3 months ago
Smarter Sampling in Model-Based Bayesian Reinforcement Learning
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
Pablo Samuel Castro, Doina Precup
MEMOCODE
2010
IEEE
15 years 2 months ago
Feldspar: A domain specific language for digital signal processing algorithms
A new language, Feldspar, is presented, enabling high-level and platform-independent description of digital signal processing (DSP) algorithms. Feldspar is a pure functional langua...
Emil Axelsson, Koen Claessen, Gergely Dévai...
SECON
2010
IEEE
15 years 2 months ago
EcoExec: An Interactive Execution Framework for Ultra Compact Wireless Sensor Nodes
Abstract--EcoExec is a host-assisted interactive execution environment for wireless sensing systems. Users can interact with sensor nodes by viewing attributes and invoking functio...
Chih-Hsiang Hsueh, Yi-Hsuan Tu, Yen-Chiu Li, Pai H...