http://www.bibsonomy.org/rss/tag/machineBibSonomy RSS Feed for /tag/machinehttp://www.machinelearning.org/hmurfi2008-08-25T21:41:37+02:00society community learning machine Open source tools have recently reached a level of maturity which makes them suitable for building large-scale real-world systems. At the same time, the field of machine learning has developed a large body of powerful learning algorithms for a wide[...]http://mloss.org/about/fmeyer2008-06-22T20:34:13+02:00directory library learning collection code algorithms machine machine-learning Open source tools have recently reached a level of maturity which makes them suitable for building large-scale real-world systems. At the same time, the fi<span class="info">...<span>Open source tools have recently reached a level of maturity which makes them suitable for building large-scale real-world systems. At the same time, the field of machine learning has developed a large body of powerful learning algorithms for a wide[...]</span></span>http://www.research.att.com/~volinsky/netflix/cddb2008-06-12T05:58:24+02:00system recommendation netflix learning machine http://www.kde.cs.uni-kassel.de/ws/rsdc08/cddb2008-06-11T14:03:42+02:00computer ECML learning machine conference http://www.kyb.tuebingen.mpg.de/bs/people/spider/hotho2008-05-01T14:14:37+02:00svm spider matlab learning machine research ml http://www.kde.cs.uni-kassel.de/hotho/publication.htmlhotho2008-04-19T12:56:05+02:00semantic web myown list learning ontology machine homepage publication http://youtube.com/watch?v=NLlGopyXT_gstumme2008-03-11T18:36:15+01:00web20 micheal is web2.0 wesch us/ing us the machine internet video http://youtube.com/watch?v=NLlGopyXT_gjaeschke2008-03-11T17:07:17+01:00ai web2.0 youtube machine internet video You&#039;ve built a vibrant community of Family Guy enthusiasts. The SVD recommendation algorithm took your site to the next level by allowing you to leverage the implicit knowledge of your community. But now you&#039;re ready for the next iteration - you are abouthttp://www.igvita.com/2007/04/16/decision-tree-learning-in-ruby/fmeyer2008-03-02T02:34:14+01:00information rails ruby designpatterns machinelearning web bayes code learning machine algorithm math ai programming tree classification library algorithms interesting You&#039;ve built a vibrant community of Family Guy enthusiasts. The SVD recommendation algorithm took your site to the next level by allowing you to leverage t<span class="info">...<span>You&#039;ve built a vibrant community of Family Guy enthusiasts. The SVD recommendation algorithm took your site to the next level by allowing you to leverage the implicit knowledge of your community. But now you&#039;re ready for the next iteration - you are about</span></span>Artificial neural networks are computers whose architecture is modeled after the brain. http://www.phy.syr.edu/courses/modules/MM/n_net/n_net.htmlgrahamchandler2008-02-22T23:57:49+01:00networks neural machine science Artificial neural networks are computers whose architecture is modeled after the brain.http://nlp.stanford.edu/IR-book/html/htmledition/evaluation-of-text-classification-1.htmljil2008-02-19T19:22:57+01:00klassifikation ir effectiveness definition buch performance begriff learning efficiency machine online evaluation http://alban.galland.free.fr/serendipity/index.php?/archives/2-Symbolic-Learning.htmljil2008-02-15T20:58:10+01:00klassifikation lernen induktion abduktion learning machine http://code.google.com/p/icsiboost/mgrani2008-01-30T22:17:29+01:00libary c boosting learning machine http://mloss.org/about/hotho2008-01-16T08:26:12+01:00open software source learning machine ml Stochastic matrices are easy to get -- just normalize the rows. Doubly stochastic matrices require more work -- simply normalizing columns/rows will not converge may take few dozen iterations to converge. One approach that works is to do constrained optimhttp://yaroslavvb.blogspot.com/2007/12/sampling-doubly-stochastic-matrices.htmlfmeyer2007-12-22T23:29:50+01:00ai machinelearning learning machine Stochastic matrices are easy to get -- just normalize the rows. Doubly stochastic matrices require more work -- simply normalizing columns/rows will not co<span class="info">...<span>Stochastic matrices are easy to get -- just normalize the rows. Doubly stochastic matrices require more work -- simply normalizing columns/rows will not converge may take few dozen iterations to converge. One approach that works is to do constrained optim</span></span>http://hunch.net/?p=29jil2007-11-27T02:35:42+01:00varianz problem learning machine crossvalidation http://hunch.net/index.php?p=22jil2007-11-27T02:33:49+01:00cheats tricks learning overfitting machine crossvalidation vergleichbarkeit http://www.apfelquak.de/2007/11/05/time-machine-mit-netzlaufwerken-nutzen/christian_claus2007-11-16T13:38:22+01:00time hack macbook apple machine http://code.google.com/p/openhtmm/yish2007-11-15T11:35:24+01:00models google hidden machine_learning thesis-related hidden_markov_model learning code machine markov This is my home pagehttp://www.cs.nott.ac.uk/~nxk/nkrasnogor2007-10-27T14:46:04+02:00Synthetic Evolutionary Algorithms Life Memetic Data Computation Decision Support Self-Assembly Self-Organisation Modelling Learning Machine Unconventional Simulation Studies Complexity Novel Artificial Systems Bioinformatics Mining Computing Evolution Biology Optimisation This is my home page