151
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ICANN
2009
Springer
15 years 4 days ago
2009
Springer
Abstract. This paper studies a risk minimization approach to estimate a transformation model from noisy observations. It is argued that transformation models are a natural candidat...
117
Voted
EUSFLAT
2009
15 years 4 days ago
2009
Neural Networks (NN), Type-1 Fuzzy Logic Systems (T1FLS) and Interval Type-2 Fuzzy Logic Systems (IT2FLS) are universal approximators, they can approximate any non-linear function....
112
Voted
BPSC
2009
15 years 6 days ago
2009
: Reliable, cost-efficient, and fast medical diagnosis is still a challenge in today's world. This paper presents a medical diagnosis system that combines the advantages of mu...
124
Voted
IEAAIE
2010
Springer
15 years 9 days ago
2010
Springer
Abstract. Gene expression profiling strategies have attracted considerable interest from biologist due to the potential for high throughput analysis of hundreds of thousands of gen...
139
Voted
ICMLA
2010
15 years 10 days ago
2010
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
144
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ICANN
2010
Springer
15 years 10 days ago
2010
Springer
Abstract. This paper presents an experimental "morphological analysis" retrieval system for mammograms, using Relevance-Feedback techniques. The features adopted are firs...
167
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ICANN
2010
Springer
15 years 10 days ago
2010
Springer
Accurate time series forecasting are important for several business, research, and application of engineering systems. Evolutionary Neural Networks are particularly appealing becau...
140
Voted
ICANN
2010
Springer
15 years 10 days ago
2010
Springer
Abstract. A previous paper [2] presented a model (UCPF-HC) of the hippocampus as a unitary coherent particle filter, which combines the classical hippocampal roles of associative m...
139
click to vote
ICANN
2010
Springer
15 years 10 days ago
2010
Springer
The hippocampus is known to be involved in spatial learning in rats. Spatial learning involves the encoding and replay of temporally sequenced spatial information. Temporally seque...
150
Voted
ICANN
2010
Springer
15 years 10 days ago
2010
Springer
We propose the so-called Support Feature Machine (SFM) as a novel approach to feature selection for classification, based on minimisation of the zero norm of a separating hyperplan...