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88
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MS
2003
15 years 2 months ago
Information-theoretic Competitive Learning
— In this paper, we propose a new supervised learning method whereby information is controlled by the associated cost in an intermediate layer, and in an output layer, errors bet...
Ryotaro Kamimura
92
Voted
ESWA
2008
223views more  ESWA 2008»
15 years 22 days ago
Credit risk assessment with a multistage neural network ensemble learning approach
In this study, a multistage neural network ensemble learning model is proposed to evaluate credit risk at the measurement level. The proposed model consists of six stages. In the ...
Lean Yu, Shouyang Wang, Kin Keung Lai
81
Voted
IJON
2007
117views more  IJON 2007»
15 years 17 days ago
Learning sensory representations with intrinsic plasticity
Intrinsic plasticity (IP) refers to a neuron’s ability to regulate its firing activity by adapting its intrinsic excitability. Previously, we showed that model neurons combinin...
Nicholas Butko, Jochen Triesch
103
Voted
IROS
2009
IEEE
198views Robotics» more  IROS 2009»
15 years 7 months ago
Scalable learning for object detection with GPU hardware
Abstract— We consider the problem of robotic object detection of such objects as mugs, cups, and staplers in indoor environments. While object detection has made significant pro...
Adam Coates, Paul Baumstarck, Quoc V. Le, Andrew Y...
102
Voted
EDM
2010
148views Data Mining» more  EDM 2010»
15 years 2 months ago
Sentiment Analysis in Student Experiences of Learning
In this paper we present an evaluation of new techniques for automatically detecting sentiment polarity (Positive or Negative) in the students responses to Unit of Study Evaluation...
Sunghwan Mac Kim, Rafael A. Calvo