[pdf] Learning Structure And Schemas From Documents (studies in Computational Intelligence)

Foundations of Computational Intelligence: Volume 1: Learning and Approximation (Studies in Computational Intelligence)

Foundations of Computational Intelligence: Volume 1: Learning and Approximation (Studies in Computational Intelligence) by Ajith Abraham
English | May 5, 2009 | ISBN: 3642010814 | 400 pages | PDF | 19 MB
Computational Intelligence in Internet of Agricultural Things (Studies in Computational Intelligence, 1170)

Computational Intelligence in Internet of Agricultural Things (Studies in Computational Intelligence, 1170) by M. G. Sumithra, Malathy Sathyamoorthy, M. Manikandan
English | August 28, 2024 | ISBN: 3031674499 | 472 pages | MOBI | 30 Mb

Intelligent Information Access (Studies in Computational Intelligence) (Repost)  eBooks & eLearning

Posted by manamba13 at Feb. 1, 2015
Intelligent Information Access (Studies in Computational Intelligence) (Repost)

Intelligent Information Access (Studies in Computational Intelligence) by Giuliano Armano
English | 2010 | ISBN: 364213999X | 148 Pages | PDF | 3 MB

Intelligent Information Access techniques attempt to overcome the limi- tions of current search devices by providing personalized information items and product/service recommendations.
Cracking the Machine Learning Code: Technicality or Innovation? (Studies in Computational Intelligence, 1155)

Cracking the Machine Learning Code: Technicality or Innovation? (Studies in Computational Intelligence, 1155) by KC Santosh, Rodrigue Rizk, Siddhi K. Bajracharya
English | May 9, 2024 | ISBN: 9819727197 | 146 pages | MOBI | 16 Mb

Emergent Intelligence of Networked Agents (Studies in Computational Intelligence)  eBooks & eLearning

Posted by outcaast at June 12, 2007

Namatame / Kurihara / Nakashima, «Emergent Intelligence of Networked Agents»
Springer | ISBN: 3540710736 | 1 edition (May 2007) | 261 pages | PDF | 18 Mb

The study of intelligence emerged from interactions among agents has been popular. In this study it is recognized that a network structure of the agents plays an important role. The current state-of-the art in agent-based modeling tends to be a mass of agents that have a series of states that they can express as a result of the network structure in which they are embedded. Agent interactions of all kinds are usually structured with complex networks. The idea of combining multi-agent systems and complex networks is also particularly rich and fresh to foster the research on the study of very large-scale multi-agent systems. Yet our tools to model, understand, and predict dynamic agent interactions and their behavior on complex networks have lagged far behind. Even recent progress in network modeling has not yet offered us any capability to model dynamic processes among agents who interact at all scales on complex networks.
Supervised Sequence Labelling with Recurrent Neural Networks (Studies in Computational Intelligence) (Repost)

Supervised Sequence Labelling with Recurrent Neural Networks (Studies in Computational Intelligence) By Alex Graves
2012 | 160 Pages | ISBN: 3642247962 | PDF | 2 MB
Supervised Sequence Labelling with Recurrent Neural Networks (Studies in Computational Intelligence) (Repost)

Supervised Sequence Labelling with Recurrent Neural Networks (Studies in Computational Intelligence) By Alex Graves
2012 | 160 Pages | ISBN: 3642247962 | PDF | 2 MB
Supervised Sequence Labelling with Recurrent Neural Networks (Studies in Computational Intelligence) (Repost)

Supervised Sequence Labelling with Recurrent Neural Networks (Studies in Computational Intelligence) By Alex Graves
2012 | 160 Pages | ISBN: 3642247962 | PDF | 2 MB
From Motor Learning to Interaction Learning in Robots (Studies in Computational Intelligence)

Olivier Sigaud, Jan Peters "From Motor Learning to Interaction Learning in Robots (Studies in Computational Intelligence)"
Springer | English | 2010-02-01 | ISBN: 3642051804 | 540 pages | PDF | 11,2 MB

Design of Interpretable Fuzzy Systems (Studies in Computational Intelligence)  eBooks & eLearning

Posted by hill0 at Feb. 4, 2017
Design of Interpretable Fuzzy Systems (Studies in Computational Intelligence)

Design of Interpretable Fuzzy Systems (Studies in Computational Intelligence) by Krzysztof Cpalka
English | 6 Mar. 2017 | ISBN: 3319528807 | 196 Pages | PDF | 5.41 MB

This book shows that the term “interpretability” goes far beyond the concept of readability of a fuzzy set and fuzzy rules. It focuses on novel and precise operators of aggregation, inference, and defuzzification leading to flexible Mamdani-type and logical-type systems that can achieve the required accuracy using a less complex rule base.