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NN
2008
Springer
169views Neural Networks» more  NN 2008»
15 years 2 months ago
Modeling a flexible representation machinery of human concept learning
dely acknowledged that categorically organized abstract knowledge plays a significant role in high-order human cognition. Yet, there are many unknown issues about the nature of ho...
Toshihiko Matsuka, Yasuaki Sakamoto, Arieta Chouch...
ML
2006
ACM
110views Machine Learning» more  ML 2006»
15 years 2 months ago
Classification-based objective functions
Backpropagation, similar to most learning algorithms that can form complex decision surfaces, is prone to overfitting. This work presents classification-based objective functions, ...
Michael Rimer, Tony Martinez
IEEEMM
2007
146views more  IEEEMM 2007»
15 years 2 months ago
Learning Microarray Gene Expression Data by Hybrid Discriminant Analysis
— Microarray technology offers a high throughput means to study expression networks and gene regulatory networks in cells. The intrinsic nature of high dimensionality and small s...
Yijuan Lu, Qi Tian, Maribel Sanchez, Jennifer L. N...
JNCA
2007
108views more  JNCA 2007»
15 years 2 months ago
Delivering adaptivity through context-awareness
Developing applications and deploying services for mobile users raises a number of issues and challenges that must be successfully addressed before the era of truly ubiquitous com...
Michael J. O'Grady, Gregory M. P. O'Hare, C. Donag...
116
Voted
APIN
2004
97views more  APIN 2004»
15 years 2 months ago
FSfRT: Forecasting System for Red Tides
A hybrid neuro-symbolic problem-solving model is presented in which the aim is to forecast parameters of a complex and dynamic environment in an unsupervised way. In situations in ...
Florentino Fdez-Riverola, Juan M. Corchado