๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

An evolutionary procedure for machine learning

โœ Scribed by Leonard D. Mlodinow; Ion O. Stamatescu

Publisher
Springer
Year
1985
Tongue
English
Weight
1012 KB
Volume
14
Category
Article
ISSN
1573-7640

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Evolutionary extreme learning machine
Evolutionary extreme learning machine
โœ Qin-Yu Zhu; A.K. Qin; P.N. Suganthan; Guang-Bin Huang ๐Ÿ“‚ Article ๐Ÿ“… 2005 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 175 KB

Extreme learning machine (ELM) [G.-B. Huang, Q.-Y. Zhu, C.-K. Siew, Extreme learning machine: a new learning scheme of feedforward neural networks, in: Proceedings of the International Joint Conference on Neural Networks (IJCNN2004), Budapest, Hungary, 25โ€“29 July 2004], a novel learning algorithm mu

An evolutionary learning approach for ad
An evolutionary learning approach for adaptive negotiation agents
โœ Raymond Y.K. Lau; Maolin Tang; On Wong; Stephen W. Milliner; Yi-Ping Phoebe Chen ๐Ÿ“‚ Article ๐Ÿ“… 2005 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 350 KB

Developing effective and efficient negotiation mechanisms for real-world applications such as e-business is challenging because negotiations in such a context are characterized by combinatorially complex negotiation spaces, tough deadlines, very limited information about the opponents, and volatile

Introduction:Paradigms for machine learn
Introduction:Paradigms for machine learning
โœ Jaime G. Carbonell ๐Ÿ“‚ Article ๐Ÿ“… 1989 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 571 KB

Machine learning (ML) played a central role in artificial intelligence at its very beginning. Although the AI limelight has wandered away from machine learning in the advent of other significant developments, such as problem solving, theorem proving, planning, natural language processing, robotics,