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» A competitive neural model of small number detection
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ESEM
2007
ACM
13 years 11 months ago
The Effects of Over and Under Sampling on Fault-prone Module Detection
The goal of this paper is to improve the prediction performance of fault-prone module prediction models (fault-proneness models) by employing over/under sampling methods, which ar...
Yasutaka Kamei, Akito Monden, Shinsuke Matsumoto, ...
IJIT
2004
13 years 8 months ago
Modeling of Pulping of Sugar Maple Using Advanced Neural Network Learning
This paper reports work done to improve the modeling of complex processes when only small experimental data sets are available. Neural networks are used to capture the nonlinear un...
W. D. Wan Rosli, Z. Zainuddin, R. Lanouette, S. Sa...
BIOADIT
2004
Springer
14 years 23 days ago
Movement Generation and Control with Generic Neural Microcircuits
Abstract. Simple linear readouts from generic neural microcircuit models can be trained to generate and control basic movements, e.g., reaching with an arm to various target points...
Prashant Joshi, Wolfgang Maass
COGCOM
2011
213views more  COGCOM 2011»
13 years 1 months ago
Spatiotemporal Features for Action Recognition and Salient Event Detection
Although the mechanisms of human visual understanding remain partially unclear, computational models inspired by existing knowledge on human vision have emerged and applied to seve...
Konstantinos Rapantzikos, Yannis S. Avrithis, Stef...
GECCO
2004
Springer
116views Optimization» more  GECCO 2004»
14 years 23 days ago
Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles
Abstract. In many real-world applications of evolutionary computation, it is essential to reduce the number of fitness evaluations. To this end, computationally efficient models c...
Yaochu Jin, Bernhard Sendhoff