BibSonomy publications for /concept/tag/MachinesThu Jun 26 16:38:50 CEST 2008Elliptical Exercise Machine What is the Major Advantages?2008elliptical trainer machine machines Thu Jun 19 17:35:00 CEST 2008On the World Wide WebApplications of Soft Computing: Recent Trends19 September - 7 October 200599--110Advances in Soft ComputingAdvances in the Application of Machine Learning Techniques in Drug Discovery, Design and Development2006Drug Support swarm vector Pharmaceutical algorithms, design, programming, Particle applications, machines genetic optimisation, Pharmaceutical discovery and development is a cascade of extremely complex and costly research encompassing many facets from: therapeutic target identification and bioinformatics study, candidate drug discovery and optimisation to pre-clinical organism-level evaluations and beyond to extensive clinical trials assessing effectiveness and safety of new medicines. Machine learning, in particular support vector machines SVM, particle swarm optimisation PSO and genetic programming GP, is increasingly used.Thu Jun 19 17:35:00 CEST 2008OctoberIntelligent Data Analysis and Fusion Techniques in Pharmaceuticals, Bioprocessing and Process Control2002algorithms, support genetic boosting, vector programming, machines Thu Jun 19 17:35:00 CEST 2008February~05Comment: 16 pages 9 figures, 1 table. Submitted to Comput. Phys. CommunPhysics{GP}: {A} Genetic Programming Approach to Event Selection2004Vector Machines algorithms, Neural Support Triggering, Classification, programming, Dimension, VC Networks, genetic We present a novel multivariate classification technique based on Genetic Programming. The technique is distinct from Genetic Algorithms and offers several advantages compared to Neural Networks and Support Vector Machines. The technique optimizes a set of human-readable classifiers with respect to some user-defined performance measure. We calculate the Vapnik-Chervonenkis dimension of this class of learning machines and consider a practical example: the search for the Standard Model Higgs Boson at the LHC. The resulting classifier is very fast to evaluate, human-readable, and easily portable. The software may be downloaded at: http://cern.ch/~cranmer/PhysicsGP.htmlThu Jun 19 17:35:00 CEST 2008Computer Physics Communications1 May3165--176{PhysicsGP}: {A} Genetic Programming approach to event selection1672005Triggering, programming, Support algorithms, vector Classification, Genetic VC genetic machines networks, dimension, Neural We present a novel multivariate classification technique based on Genetic Programming. The technique is distinct from Genetic Algorithms and offers several advantages compared to Neural Networks and Support Vector Machines. The technique optimises a set of human-readable classifiers with respect to some user-defined performance measure. We calculate the Vapnik-Chervonenkis dimension of this class of learning machines and consider a practical example: the search for the Standard Model Higgs Boson at the LHC. The resulting classifier is very fast to evaluate, human-readable, and easily portable. The software may be downloaded at: http://cern.ch/~cranmer/PhysicsGP.html.Thu Jun 19 17:35:00 CEST 2008CP 231, Universite Libre de Bruxelles, Bld. du Triomphe, 1050 Brussels, Belgium, Fax 32-2-659.5767 Phone 32-2-650.5776 Email sgross@ulb.ac.beECAL-93 Self organisation and life: from simple rules to global complexity24--26 May274--284Evolving a Replicator The Genetic Programming of Self Reproduction in Cellular Automata1993nanots, computers, programming, algorithms, Qantum-electronic life, Darwin genetic artificial nonotechnology, machines Presents results from the evolution of cellular automata replicators using GP (ie using GAs to build/evolve systems. 1: How difficult is the evolution of CA replicators (intersity to Artificial Life), 2: Evolving CAs may provide tools for quantum-electronic computers (eg quantum dot arrays)Thu Jun 19 17:35:00 CEST 2008Journal of Materials Processing Technology15 May1379--1387Evolutionary programming of {CNC} machines164-1652005algorithms, systems, Manufacturing CNC NC programming, genetic machines We propose a new concept for programming of CNC machines. The concept based on genetic algorithms assures evolutionary generation and optimization of NC programs on the basis of CAD models of manufacturing environment. The structure, undergoing simulated evolution, is the population of NC programs. The NC programs control the machine which performs simple elementary motions. During the evolution the machine movement becomes more and more complex and intelligent solutions emerge gradually as a result of the interaction between machine movements and manufacturing environment. The examples of evolutionary programming of CNC lathe and CNC milling machine tool for different complexities of the blanks and products are presented. The proposed concept showed a high degree of universality, efficiency, and reliability and it can be also simply adopted to other CNC machines.Thu Jun 19 17:35:00 CEST 2008New ZealandCS-TR-06-4Genetic Programming for Automatic Stress Detection in Spoken English2006support recognition, genetic Speech stress vector detection, programming, decision trees, algorithms, machines This paper describes an approach to the use of genetic programming (GP) for the automatic detection of rhythmic stress in spoken New Zealand English. A linear-structured GP system uses speaker independent prosodic features and vowel quality features as terminals to classify each vowel segment as stressed or unstressed. Error rate is used as the fitness function. In addition to the standard four arithmetic operators, this approach also uses several other arithmetic, trigonometric, and conditional functions in the function set. The approach is evaluated on 60 female adult utterances with 703 vowels and a maximum accuracy of 92.61per cent is achieved. The approach is compared with decision trees (DT) and support vector machines (SVM). The results suggest that, on our data set, GP outperforms DT and SVM for stress detection, and GP has stronger automatic feature selection capability than DT and SVM.Wed May 21 09:08:55 CEST 2008eWeek4p3410 new technologies IBM is cooking in its Innovation Labs.2520080204Machines States COMPUTER innovations, reality, software VIRTUAL games, APPLICATION industry, INTERNATIONAL simulation, Corp., TECHNOLOGICAL software, Business UNITED The article reports on the ten new collaboration technologies offered by International Business Machines Corp. (IBM) in the computer software industry in the U.S. These include Bluegrass, a virtual reality application that allows users to create virtual conference rooms, Beehive, which allows users to display pictures and video, and Virtual Team-Building Game which was intended to improve trust and cooperation among fellows unused to the idea of virtual meeting. Moreover, Social Discovery returns documents and adds people's names concerning a topic from IBM's internal Blog Central application. Other applications include Cattail Personal File Sharing, Chat Search and Real-Time Translation Service. Wed Apr 23 22:05:04 CEST 2008Signal ProcessingSep92364--2380Demonstrating the stability of support vector machines for classification862006vector machines Support Wed Apr 23 22:05:04 CEST 2008Signal ProcessingAug81681--1693SVC-based equalizer for burst TDMA transmissions812001machines vector Support Wed Apr 23 22:05:04 CEST 2008Signal ProcessingDec122316--2326Support vector machines framework for linear signal processing852005machines Support vector Wed Apr 23 14:55:19 CEST 2008Computational Statistics \& Data AnalysisOct4441--456Re-engineering statistical software for efficient parallel execution311999Distributed machines memory 28Tue Apr 22 10:36:30 CEST 2008Physica A: Statistical and Theoretical PhysicsAug1-4119--127Primordial synthesis machines and the origin of the genetic code2571998Molecular machines 15Tue Apr 22 10:36:30 CEST 2008Physica A: Statistical Mechanics and its ApplicationsSep1-2151--156Replication ratchets: polymer transport enhanced by complementarity3272003Molecular machines 01Thu Mar 20 21:01:58 CET 2008R&D Management113-25Management of dispersed product development teams: The role of information technologies.281998relating on of Looks role availability, dispersing international Indepth case global track technologies, dispersed teams, Business Machines markets. the resource information to at significance Information focusing International research (IBM) demands Detailed while development teams. R&D study in keeping analysis (R&D) and teams technologies look Looks at the role of information technologies, while focusing on the dispersing of research and development (R&D) teams, relating to keeping track of resource availability, and the demands of global markets. Indepth look at the significance of dispersed teams in international R&D; Information on the International Business Machines (IBM) case study; Detailed information on the analysis of the information technologies in dispersed R&D teams.Fri Feb 15 14:19:13 CET 2008Modellbildung und Simulation hochdynamischer Fertigungssysteme2006Machines da2 Control Simulation Tools Manufacturing modell simulation system modellbildung Automation Modeling Engineering Robotics Sat May 05 12:54:42 CEST 2007Proceedings of the 23rd International Conference on Machine Learningconf/icml/2006841-848Deterministic annealing for semi-supervised kernel machines.2006annealing deterministic kernel machines