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Artificial selection
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1	Action Selection and Individuation in Agent Based Modelling Joanna J. Bryson University of Bath Department of Computer Science Artificial models of natural Intelligence (AmonI) Add to Reading List Source URL: www.cs.bath.ac.uk Language: English - Date: 2004-04-26 12:17:49 Metaphysics Modeling and simulation Simulation Multi-agent systems Artificial intelligence Complex systems theory Scientific modeling Reactive planning Action selection Intelligent agent Agent-based model Social simulation
2	Born to Run: Artificial Selection Lab by Theodore Garland, Jr., Ph.D. (University of California, Riverside) and Tricia Radojcic, Ph.D. (Bella Vista Middle School, Murrieta, California) Add to Reading List Source URL: www.indiana.edu - Date: 2013-08-06 19:16:27
3	Efficient and Robust Automated Machine Learning Matthias Feurer Aaron Klein Katharina Eggensperger Jost Tobias Springenberg Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2016-01-30 21:34:03 Artificial intelligence Statistics Machine learning Model selection Statistical classification Ensemble learning Hyperparameter optimization Mathematical optimization Support vector machine Boosting Deep learning Weka
4	Learning to Rank on Network Data Majid Yazdani Ronan Collobert Andrei Popescu-Belis Add to Reading List Source URL: majid.yazdani.me Language: English - Date: 2015-08-19 06:57:43 Information science Information retrieval Statistics Computational neuroscience Cybernetics Dimension reduction Machine learning PageRank Feature selection Learning to rank Artificial neural network Ranking
5	Proceedings of the Twenty-Fifth International Conference on Automated Planning and Scheduling Goal-Based Action Priors David Abel, D. Ellis Hershkowitz, Gabriel Barth-Maron, Stephen Brawner, Kevin O’Farrell, James Mac Add to Reading List Source URL: h2r.cs.brown.edu Language: English - Date: 2016-03-28 19:05:32 Cognitive science Artificial intelligence Automated planning and scheduling Probability Dynamic programming Markov processes Stochastic control Reinforcement learning Markov decision process Motion planning Action selection Prior probability
6	Methods for Multi-Category Cancer Diagnosis from Gene Expression Data: A Comprehensive Evaluation to Inform Decision Support System Development Alexander Statnikov, Constantin F. Aliferis, Ioannis Tsamardinos Discovery S Add to Reading List Source URL: www.dsl-lab.org Language: English - Date: 2004-02-18 20:07:17 Machine learning Learning Statistics Artificial intelligence Statistical classification Model selection Support vector machine Cross-validation K-nearest neighbors algorithm Ensemble learning Kernel method Pattern recognition
7	Microsoft PowerPoint - Chapterpptx Add to Reading List Source URL: www.ife.ee.ethz.ch Language: English - Date: 2015-10-20 04:16:31 Decision trees Machine learning Artificial intelligence Learning Decision tree learning C4.5 algorithm Feature selection Supervised learning Bootstrap aggregating Pruning Random forest Tree
8	COLOR CHART Laser \| Rotary \| Print Product Material Selection Rowmark’s QMS is ISO 9001 cer tified Add to Reading List Source URL: www.rowmark.com Language: English - Date: 2016-03-17 18:12:13 Game artificial intelligence Game theory Ply Leisure
9	TEM Journal–151 Predicting Bidding Price in Construction using Support Vector Machine Silvana Petruseva 1, Phil Sherrod 2, Valentina Zileska Pancovska 1, Aleksandar Petrovski 3 Add to Reading List Source URL: www.temjournal.com Language: English - Date: 2016-06-03 09:19:27 Statistics Machine learning Applied mathematics Statistical classification Computational neuroscience Computational statistics Estimation theory Artificial neural networks Support vector machine Regression analysis Perceptron Feature selection
10	Evolutionary Feature Evaluation for Online Reinforcement Learning Add to Reading List Source URL: eldar.mathstat.uoguelph.ca Language: English - Date: 2016-07-12 12:05:04 Cognitive science Cognition Artificial intelligence Machine learning Belief revision Reinforcement learning Temporal difference learning Q-learning Feature selection Supervised learning Proto-value functions Action selection