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» Practical Reinforcement Learning in Continuous Spaces
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AAAI
2007
13 years 11 months ago
Manifold Denoising as Preprocessing for Finding Natural Representations of Data
A natural representation of data is given by the parameters which generated the data. If the space of parameters is continuous, then we can regard it as a manifold. In practice, w...
Matthias Hein, Markus Maier
EOR
2007
165views more  EOR 2007»
13 years 8 months ago
Adaptive credit scoring with kernel learning methods
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
Yingxu Yang
HICSS
2006
IEEE
120views Biometrics» more  HICSS 2006»
14 years 2 months ago
Systems Thinking and Information Literacy: Elements of a Knowledge Enabling Workplace Environment
Dynamic technology-driven circumstances fortify academic librarians’ reconsideration of their professional purposes, processes and relationships. In response, California Polytec...
Mary M. Somerville, Anita Mirijamdotter, Lydia Col...
JSAC
2010
129views more  JSAC 2010»
13 years 7 months ago
An adaptive link layer for heterogeneous multi-radio mobile sensor networks
—An important challenge in mobile sensor networks is to enable energy-efficient communication over a diversity of distances while being robust to wireless effects caused by node...
Jeremy Gummeson, Deepak Ganesan, Mark D. Corner, P...
DAC
2008
ACM
14 years 9 months ago
Functional test selection based on unsupervised support vector analysis
Extensive software-based simulation continues to be the mainstream methodology for functional verification of designs. To optimize the use of limited simulation resources, coverag...
Onur Guzey, Li-C. Wang, Jeremy R. Levitt, Harry Fo...