MICAI 2004: Advances in Artificial Intelligence

MICAI 2004: Advances in Artificial Intelligence
Author :
Publisher : Springer Science & Business Media
Total Pages : 941
Release :
ISBN-10 : 9783540214595
ISBN-13 : 3540214593
Rating : 4/5 (95 Downloads)

Synopsis MICAI 2004: Advances in Artificial Intelligence by : Raúl Monroy

This book constitutes the refereed proceedings of the Third Mexican International Conference on Artificial Intelligence, MICAI 2004, held in Mexico City, Mexico in April 2004. The 94 revised full papers presented were carefully reviewed and selected from 254 submissions. The papers are organized in topical sections on applications, intelligent interfaces and speech processing, knowledge representation, logic and constraint programming, machine learning and data mining, multiagent systems and distributed AI, natural language processing, uncertainty reasoning, vision, evolutionary computation, modeling and intelligent control, neural networks, and robotics.

GS*, an Adaptive Bias Framework for Classification Algorithms

GS*, an Adaptive Bias Framework for Classification Algorithms
Author :
Publisher :
Total Pages : 160
Release :
ISBN-10 : UIUC:30112121897653
ISBN-13 :
Rating : 4/5 (53 Downloads)

Synopsis GS*, an Adaptive Bias Framework for Classification Algorithms by : Carl Thomas Uhrik

In the real-world study set (Sparks, Engine Design, Annealing), there is known to be considerable noise, and dealing with numerical values is a strong consideration. A comparison of the GS* results for the problems is made against 2 standard algorithms (CN2 and NEWID)."

Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence

Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence
Author :
Publisher : Springer Science & Business Media
Total Pages : 1142
Release :
ISBN-10 : 9783642040191
ISBN-13 : 3642040195
Rating : 4/5 (91 Downloads)

Synopsis Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence by : De-Shuang Huang

The International Conference on Intelligent Computing (ICIC) was formed to provide an annual forum dedicated to the emerging and challenging topics in artificial intelligence, machine learning, bioinformatics, and computational biology, etc. It aims to bring - gether researchers and practitioners from both academia and industry to share ideas, problems, and solutions related to the multifaceted aspects of intelligent computing. ICIC 2009, held in Ulsan, Korea, September 16-19, 2009, constituted the 5th - ternational Conference on Intelligent Computing. It built upon the success of ICIC 2008, ICIC 2007, ICIC 2006, and ICIC 2005 held in Shanghai, Qingdao, Kunming, and Hefei, China, 2008, 2007, 2006, and 2005, respectively. This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the p- ture of contemporary intelligent computing techniques as an integral concept that hi- lights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was “Emerging Intelligent Computing Technology and Applications.” Papers focusing on this theme were solicited, addressing theories, methodologies, and applications in science and technology.

Ai '92 - Proceedings Of The 5th Australian Joint Conference On Artificial Intelligence

Ai '92 - Proceedings Of The 5th Australian Joint Conference On Artificial Intelligence
Author :
Publisher : World Scientific
Total Pages : 410
Release :
ISBN-10 : 9789814553605
ISBN-13 : 9814553603
Rating : 4/5 (05 Downloads)

Synopsis Ai '92 - Proceedings Of The 5th Australian Joint Conference On Artificial Intelligence by : A Adams

The papers in this volume deal with academic research topics as well as practical applications in AI. Special emphasis is given to computer vision, machine learning, neural networks mixed with theory of logic and reasoning, and practical applications of expert systems in industry and decision support.

Machine Learning Proceedings 1993

Machine Learning Proceedings 1993
Author :
Publisher : Morgan Kaufmann
Total Pages : 361
Release :
ISBN-10 : 9781483298627
ISBN-13 : 1483298620
Rating : 4/5 (27 Downloads)

Synopsis Machine Learning Proceedings 1993 by : Lawrence A. Birnbaum

Machine Learning Proceedings 1993

Selecting Models from Data

Selecting Models from Data
Author :
Publisher : Springer Science & Business Media
Total Pages : 475
Release :
ISBN-10 : 9781461226604
ISBN-13 : 1461226600
Rating : 4/5 (04 Downloads)

Synopsis Selecting Models from Data by : P. Cheeseman

This volume is a selection of papers presented at the Fourth International Workshop on Artificial Intelligence and Statistics held in January 1993. These biennial workshops have succeeded in bringing together researchers from Artificial Intelligence and from Statistics to discuss problems of mutual interest. The exchange has broadened research in both fields and has strongly encour aged interdisciplinary work. The theme ofthe 1993 AI and Statistics workshop was: "Selecting Models from Data". The papers in this volume attest to the diversity of approaches to model selection and to the ubiquity of the problem. Both statistics and artificial intelligence have independently developed approaches to model selection and the corresponding algorithms to implement them. But as these papers make clear, there is a high degree of overlap between the different approaches. In particular, there is agreement that the fundamental problem is the avoidence of "overfitting"-Le., where a model fits the given data very closely, but is a poor predictor for new data; in other words, the model has partly fitted the "noise" in the original data.

Adaptive Stream Mining

Adaptive Stream Mining
Author :
Publisher : IOS Press
Total Pages : 224
Release :
ISBN-10 : 9781607500902
ISBN-13 : 1607500906
Rating : 4/5 (02 Downloads)

Synopsis Adaptive Stream Mining by : Albert Bifet

This book is a significant contribution to the subject of mining time-changing data streams and addresses the design of learning algorithms for this purpose. It introduces new contributions on several different aspects of the problem, identifying research opportunities and increasing the scope for applications. It also includes an in-depth study of stream mining and a theoretical analysis of proposed methods and algorithms. The first section is concerned with the use of an adaptive sliding window algorithm (ADWIN). Since this has rigorous performance guarantees, using it in place of counters or accumulators, it offers the possibility of extending such guarantees to learning and mining algorithms not initially designed for drifting data. Testing with several methods, including Naïve Bayes, clustering, decision trees and ensemble methods, is discussed as well. The second part of the book describes a formal study of connected acyclic graphs, or 'trees', from the point of view of closure-based mining, presenting efficient algorithms for subtree testing and for mining ordered and unordered frequent closed trees. Lastly, a general methodology to identify closed patterns in a data stream is outlined. This is applied to develop an incremental method, a sliding-window based method, and a method that mines closed trees adaptively from data streams. These are used to introduce classification methods for tree data streams.

Machine Intelligence and Soft Computing

Machine Intelligence and Soft Computing
Author :
Publisher : Springer
Total Pages : 504
Release :
ISBN-10 : 9811595151
ISBN-13 : 9789811595158
Rating : 4/5 (51 Downloads)

Synopsis Machine Intelligence and Soft Computing by : Debnath Bhattacharyya

This book gathers selected papers presented at the International Conference on Machine Intelligence and Soft Computing (ICMISC 2020), held jointly by Vignan’s Institute of Information Technology, Visakhapatnam, India and VFSTR Deemed to be University, Guntur, AP, India during 03-04 September 2020. Topics covered in the book include the artificial neural networks and fuzzy logic, cloud computing, evolutionary algorithms and computation, machine learning, metaheuristics and swarm intelligence, neuro-fuzzy system, soft computing and decision support systems, soft computing applications in actuarial science, soft computing for database deadlock resolution, soft computing methods in engineering, and support vector machine.