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CIMCA
2005
IEEE
13 years 11 months ago
Opposition-Based Learning: A New Scheme for Machine Intelligence
Opposition-based learning as a new scheme for machine intelligence is introduced. Estimates and counter-estimates, weights and opposite weights, and actions versus counter-actions...
Hamid R. Tizhoosh
TEC
2008
98views more  TEC 2008»
13 years 5 months ago
Opposition-Based Differential Evolution
Evolutionary Algorithms (EAs) are well-known optimization approaches to cope with non-linear, complex problems. These population-based algorithms, however, suffer from a general we...
Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A...
JACIII
2006
97views more  JACIII 2006»
13 years 5 months ago
Opposition-Based Reinforcement Learning
In this paper a method for image segmentation using an opposition-based reinforcement learning scheme is introduced. We use this agent-based approach to optimally find the appropri...
Hamid R. Tizhoosh
AIIA
2001
Springer
13 years 9 months ago
A New Machine Learning Approach to Fingerprint Classification
We present new fingerprint classification algorithms based on two machine learning approaches: support vector machines (SVMs), and recursive neural networks (RNNs). RNNs are traine...
Yuan Yao, Gian Luca Marcialis, Massimiliano Pontil...
EVOW
2009
Springer
14 years 3 days ago
Guidelines to Select Machine Learning Scheme for Classification of Biomedical Datasets
Ajay Kumar Tanwani, Jamal Afridi, M. Zubair Shafiq...