New PDF release: Advances in Self-Organizing Maps: 7th International

By Takashi Abe, Shigehiko Kanaya, Toshimichi Ikemura (auth.), José C. Príncipe, Risto Miikkulainen (eds.)

ISBN-10: 3642023967

ISBN-13: 9783642023965

ISBN-10: 3642023975

ISBN-13: 9783642023972

This booklet constitutes the refereed court cases of the seventh overseas Workshop on Advances in Self-Organizing Maps, WSOM 2009, held in St. Augustine, Florida, in June 2009.

The forty-one revised complete papers offered have been rigorously reviewed and chosen from various submissions. The papers take care of issues within the use of SOM in lots of components of social sciences, economics, computational biology, engineering, time sequence research, information visualization and theoretical desktop science.

Show description

Read Online or Download Advances in Self-Organizing Maps: 7th International Workshop, WSOM 2009, St. Augustine, FL, USA, June 8-10, 2009. Proceedings PDF

Best international books

Download e-book for kindle: Advances in Grid and Pervasive Computing: 7th International by Thepparit Banditwattanawong (auth.), Ruixuan Li, Jiannong

This ebook constitutes the refereed court cases of the seventh foreign convention on Grid and Pervasive Computing, GPC 2012, held in Hong Kong, China, in may perhaps 2012. The nine revised complete papers and 19 brief papers have been rigorously revised and chosen from fifty five submissions. they're equipped in topical sections on cloud computing, grid and repair computing, eco-friendly computing, cellular and pervasive computing, scheduling and function, and belief and safety.

Algirdas Avižienis (auth.), Erwin Schoitsch (eds.)'s Safe Comp 96: The 15th International Conference on Computer PDF

SAFECOMP '96 includes papers offered on the fifteenth foreign convention on machine defense, Reliability and defense held in Vienna, Austria, 23-25 October 1996. The convention aimed to supply a chance for technical builders and clients to debate and overview their reviews, to think about the simplest applied sciences presently on hand, and to spot the abilities and applied sciences required for the longer term.

Download e-book for iPad: Neural Network Perception for Mobile Robot Guidance by Dean A. Pomerleau

Dean Pomerleau's trainable street tracker, ALVINN, is arguably the world's most famed neural web program. It at the moment holds the world's list for distance traveled through an self reliant robotic with no interruption: 21. 2 miles alongside a street, in site visitors, at speedsofup to fifty five miles according to hour. Pomerleau's paintings has acquired world wide consciousness, together with articles in company Week (March 2, 1992), detect (July, 1992), and German and jap technological know-how magazines.

New PDF release: Population Biology: Proceedings of the International

This quantity includes the lawsuits of the overseas convention in inhabitants Biology held on the college of Alberta, Edmonton, Canada from June 22 to June 30, 1982. The convention used to be subsidized by means of The collage of Alberta and The Canadian utilized arithmetic Society, and overlapped with the summer time assembly of CAMS.

Additional resources for Advances in Self-Organizing Maps: 7th International Workshop, WSOM 2009, St. Augustine, FL, USA, June 8-10, 2009. Proceedings

Sample text

The data are the 7-dimensional engine variables. Right; the values of variable Y4 (HPC discharge temperature) for 4 engines. Fig. 2. Almost linear dependence between variable Y5 (EGT) and variable X10 (Total Air Temperature) The correlation between variables can be illustrated too. As an example, Figure 2 shows variable Y5 (EGT) as a function of variable X10 (Total Air Temperature) in four engines. It is obvious that both variables are strongly dependent. 42 M. Cottrell et al. These few examples clearly show that it is necessary to remove the effects of the engine and of the environmental variables, by computing the residuals in model (2).

1. 2 Description The graph-theoretical approach is motivated by the observation that hierarchical variables have a set of states that can be ranked in a meaningful order. For example, consider the variable “size” having five states: {very big, big, medium, small, very small}. It is obvious that {very big} matches {big} more closely than it matches {very small}. However, this piece of information is lost if binary encoding is used, because such an encoding produces a dichotomous output: a state either matches another state or does not.

In this contribution we investigate Generalized Learning Vector Quantization (GLVQ [5]) with adaptive metrics and propose a framework for incremental and online figure-ground segmentation which faces two problems. Firstly the local adaptive metrics complicates distance-based criteria to place new prototypes, where we use the confidence of the classification instead. Secondly the method has to cope with noisy supervised information, that is, the labels to adapt the networks are not fully confident. In particular we address the second problem by using a parallel evaluation method on the basis of a local utility function, which does not rely on global error optimization.

Download PDF sample

Advances in Self-Organizing Maps: 7th International Workshop, WSOM 2009, St. Augustine, FL, USA, June 8-10, 2009. Proceedings by Takashi Abe, Shigehiko Kanaya, Toshimichi Ikemura (auth.), José C. Príncipe, Risto Miikkulainen (eds.)


by Richard
4.4

Rated 4.40 of 5 – based on 48 votes