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» Learning Determinantal Point Processes
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126
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NECO
2000
86views more  NECO 2000»
15 years 2 months ago
A Bayesian Committee Machine
The Bayesian committee machine (BCM) is a novel approach to combining estimators which were trained on different data sets. Although the BCM can be applied to the combination of a...
Volker Tresp
147
Voted
ICMLA
2010
15 years 16 days ago
A Probabilistic Graphical Model of Quantum Systems
Quantum systems are promising candidates of future computing and information processing devices. In a large system, information about the quantum states and processes may be incomp...
Chen-Hsiang Yeang
ALIFE
2006
15 years 2 months ago
Understanding Linguistic Evolution by Visualizing the Emergence of Topographic Mappings
We show how cultural selection for learnability during the process of linguistic evolution can be visualized using a simple iterated learning model. Computational models of linguis...
Henry Brighton, Simon Kirby
129
Voted
IEEECIT
2009
IEEE
15 years 9 months ago
Clustering of Software Systems Using New Hybrid Algorithms
—Software clustering is a method for increasing software system understanding and maintenance. Software designers, first use MDG graph to model the structure of software system. ...
Ali Safari Mamaghani, Mohammad Reza Meybodi
CCIW
2011
Springer
14 years 6 months ago
On the Application of Structured Sparse Model Selection to JPEG Compressed Images
The representation model that considers an image as a sparse linear combination of few atoms of a predefined or learned dictionary has received considerable attention in recent ye...
Giovanni Maria Farinella, Sebastiano Battiato