By Ioannis T. Christou, Sofoklis Efremidis (auth.), Christos Boukis, Aristodemos Pnevmatikakis, Lazaros Polymenakos (eds.)
International Federation for info Processing
The IFIP sequence publishes state of the art leads to the sciences and applied sciences of knowledge and conversation. The scope of the sequence comprises: foundations of machine technology; software program conception and perform; schooling; computing device functions in expertise; conversation structures; platforms modeling and optimization; details structures; desktops and society; desktops expertise; defense and safeguard in info processing structures; man made intelligence; and human-computer interplay. lawsuits and post-proceedings of referred foreign meetings in computing device technology and interdisciplinary fields are featured. those effects frequently precede magazine book and characterize the most up-tp-date examine. The vital target of the IFIP sequence is to motivate schooling and the dissemination and trade of data approximately all points of computing.
For additional information in regards to the three hundred different books within the IFIP sequence, please stopover at www.springer.com.
For additional information approximately IFIP, please stopover at www.ifip.org.
Read or Download Artificial Intelligence and Innovations 2007: from Theory to Applications: Proceedings of the 4th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI 2007) PDF
Similar theory books
This booklet presents a finished research of an important themes in parallel computation. it really is written in order that it can be used as a self-study consultant to the sphere, and researchers in parallel computing will locate it an invaluable reference for a few years to return. the 1st 1/2 the publication includes an creation to many primary concerns in parallel computing.
This e-book includes a variety of difficulties of sign detection conception. A generalized statement version for sign detection difficulties is incorporated. The version comprises a number of attention-grabbing and customary distinctive situations similar to these describing additive noise, multiplicative noise, and signal-dependent noise. The version may also describe composite indications as well as the standard identified (deterministic) indications and random (stochastic) signs.
Foreign Federation for info ProcessingThe IFIP sequence publishes state of the art leads to the sciences and applied sciences of data and communique. The scope of the sequence contains: foundations of machine technology; software program concept and perform; schooling; laptop functions in know-how; conversation structures; platforms modeling and optimization; details platforms; pcs and society; computers know-how; safeguard and security in info processing structures; synthetic intelligence; and human-computer interplay.
Additional info for Artificial Intelligence and Innovations 2007: from Theory to Applications: Proceedings of the 4th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI 2007)
The problem been analyzed using many algorithms like branch-and-bound, greedy searching algorithms etc. In recent years, the genetic algorithms been used for analyzing this problem widely . We can assume this problem as an undirected graph problem. In this problem, we are searching for minimum path where visits all the nodes exactly once and finishes at the node start from that. Figl indicates an example with its optimal solution. A, B, C... are the cities and the numbers on the edges are the cost of links .
ACM Press. 7. , Zhang, J. K. (1999). AdaCost: Misclassification costsensitive boosting. Proceedings of the Sixteenth International Conference on Machine Learning, 97-105. San Francisco: Morgan Kaufinann. 8. Japkowicz N. (2000), The class imbalance problem: Significance and strategies. In Proceedings of the International Conference on Artificial Intelligence, Las Vegas. 9. Japkowicz N. and Stephen, S. (2002), The Class Imbalance Problem: A Systematic Study Intelligent Data Analysis, Volume 6, Number 5.
And Provost F. (1997), Adaptive Fraud Detection. Data Mining and Knowledge Discovery, 1(3):291-316. Friedman J. H. (1997), On bias, variance, 0/1-loss and curse-of-dimensionality. Data Mining and Knowledge Discovery, 1: 55-77. , Lavrac, N. & Dzeroski, S. (2000). Noise Detection and Elimination in Data Preprocessing: experiments in medical domains. Applied Artificial Intelligence 14, 205-223. Japkowicz N. (2000), The class imbalance problem: Significance and strategies. In Proceedings of the International Conference on Artificial Intelligence, Las Vegas.