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Algorithmic Learning Theory: 17th International Conference, ALT 2006, Barcelona, Spain, October 7-10, 2006, Proceedings
Algorithmic Learning Theory: 17th International Conference, ALT 2006, Barcelona, Spain, October 7-10, 2006, Proceedings
This book constitutes the refereed proceedings of the 17th International Conference on Algorithmic Learning Theory, ALT 2006, held in Barcelona, Spain in October 2006, colocated with the 9th International Conference on Discovery Science, DS 2006.

The 24 revised full papers presented together with the abstracts of 5 invited papers were carefully...

Case-Based Reasoning Research and Development: Second International Conference on Case-Based Reasoning, ICCBR-97 Providence
Case-Based Reasoning Research and Development: Second International Conference on Case-Based Reasoning, ICCBR-97 Providence
In 1995, the first International Conference on Case-Based Reasoning (ICCBR) was held in Sesimbra, Portugal, as the start of a biennial series. ICCBR-97, the Second International Conference on Case-Based Reasoning, was held at Brown University in Providence, Rhode Island, on July 25-27, 1997. The goal of the conference was to achieve a vibrant...
Bioinformatics Algorithms: Techniques and Applications (Wiley Series in Bioinformatics)
Bioinformatics Algorithms: Techniques and Applications (Wiley Series in Bioinformatics)
Presents algorithmic techniques for solving problems in bioinformatics, including applications that shed new light on molecular biology

This book introduces algorithmic techniques in bioinformatics, emphasizing their application to solving novel problems in post-genomic molecular biology. Beginning with a thought-provoking discussion on the...

Flexible Neuro-Fuzzy Systems : Structures, Learning and Performance Evaluation
Flexible Neuro-Fuzzy Systems : Structures, Learning and Performance Evaluation
Over the last decade fuzzy sets and fuzzy logic introduced in 1965 by
Lotfi Zadeh [113] have been used in a wide range of problem domains
including process control, image processing, pattern recognition and
classification, management, economics and decision making. Specific
applications include washing-machine automation,
...
Machine Learning for Finance: Principles and practice for financial insiders
Machine Learning for Finance: Principles and practice for financial insiders

A guide to advances in machine learning for financial professionals, with working Python code

Key Features

  • Explore advances in machine learning and how to put them to work in financial industries
  • Clear explanation and expert discussion of how machine learning works, with...
 
   
   
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