By M. Polit, T. Talbert, B. Lopez, J. Melendez

Synthetic Intelligence (AI) kinds a vital department of laptop technology. the sphere lined through AI is multiform and gathers topics as a variety of because the engineering of data, the automated remedy of the language, the educational and the platforms multiagents, to cite just some of them. The historical past of AI knew a variety of sessions of evolution passing from classes of doubt at very fertile sessions. AI is now in its adulthood and didn't stay an remoted box of computing device technology, yet approached quite a few fields like information, info research, linguistics and cognitive psychology or databases. AI is concentrated on supplying options to actual existence difficulties and is used now in regimen in medication, economics and army or method online game. This e-book specializes in topics together with computing device studying, Reasoning, Neural Networks, laptop imaginative and prescient, making plans and Robotics and Multiagent platforms. the entire papers gathered during this quantity are of curiosity to any desktop scientist or engineer attracted to AI.IOS Press is a global technological know-how, technical and scientific writer of high quality books for lecturers, scientists, and pros in all fields. many of the components we put up in: -Biomedicine -Oncology -Artificial intelligence -Databases and data structures -Maritime engineering -Nanotechnology -Geoengineering -All points of physics -E-governance -E-commerce -The wisdom economic climate -Urban reports -Arms keep watch over -Understanding and responding to terrorism -Medical informatics -Computer Sciences

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S. Escalera et al. / Optimal Extension of Error Correcting Output Codes 35 Table 4. Results of coding extensions of Dense random for UCI repository database. 5. Conclusions In most of the ECOC coding strategies, the ECOC matrix is pre-designed, using the same dichotomies in any type of problem. We introduced a new coding and decoding strategy called ECOC-ONE. The ECOC-ONE strategy can be seen as a general extension for any initial coding matrix. The procedure shares classifiers among classes in the ECOC-ONE matrix, and selects the best partitions weighed by their relevance.

Shawe-Taylor, An Introduction to Support Vector Machines and Other Kernelbased Learning Methods, Cambridge University Press, 2000. [10] R Development Core Team, R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria, ISBN 3-900051-07-0 (2005). org 28 Artificial Intelligence Research and Development M. Polit et al. ) IOS Press, 2006 © 2006 The authors and IOS Press. Optimal Extension of Error Correcting Output Codes a b a Sergio ESCALERA , Oriol PUJOL , and Petia RADEVA a Centre de Visió per Computador, Campus UAB, 08193 Bellaterra (Barcelona), Spain b Dept.

3. Methods This section introduces the methods used in this work for interpretation. 1. Logistic Regression (LR) The Logistic Regression (LR) is part of the models in which the response variable is qualitative, for example, the occurrence or not of a certain event or the belong or not to a certain category. In this work Binary Logistic Regression is used to identify which variables better explain every class by using as a binary response variable the dummy YC. 40 K. Gibert et al. / A Comparative Analysis of Different Classes-Interpretation Support Techniques The explanatory variables could be quantitative or qualitative if these are correspondingly treated and the result is a model for the probability of an object of being in C or not [14].

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