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Supervised learning
Results: 1557

#	Item
991	Classifying Dynamic Objects: An Unsupervised Learning Approach Matthias Luber Kai O. Arras Add to Reading List Source URL: www.service-robotik-initiative.de Language: English - Date: 2008-08-12 09:22:27 Science Statistical classification 3D scanner Unsupervised learning Pattern recognition Exemplar Hidden Markov model Supervised learning Outlier Machine learning Statistics Artificial intelligence
992	Accelerating Imitation Learning in Relational Domains via Transfer by Initialization Sriraam Natarajan1 , Phillip Odom1 , Saket Joshi2 , Tushar Khot4 , Kristian Kersting5 , and Prasad Tadepalli3 1 Add to Reading List Source URL: www.first-mm.eu Language: English - Date: 2013-07-24 09:17:35 Decision trees Reinforcement learning Supervised learning Decision tree learning Gradient boosting Imitation Regression analysis Machine learning Statistics Learning
993	Beyond Parallel Data: Joint Word Alignment and Decipherment Improves Machine Translation Qing Dou , Ashish Vaswani, and Kevin Knight Information Sciences Institute Department of Computer Science University of Southern Ca Add to Reading List Source URL: www.isi.edu Language: English - Date: 2014-08-28 01:35:54 Machine translation Natural language processing Cryptography Speech recognition Bigram Statistical machine translation Association for Computational Linguistics Semi-supervised learning BLEU Linguistics Computational linguistics Science
994	AGRICULTURAL FIELD DELIMITATION USING ACTIVE LEARNING AND RANDOM FORESTS MARGIN Karim Ghariani (a), Nesrine Chehata(b,c), Arnaud Le Bris (d) and Philippe Lagacherie (e) (a) Student at INSAT (Institut National des Science Add to Reading List Source URL: recherche.ign.fr Language: English - Date: 2014-08-08 05:12:33 Segmentation Random forest Statistical classification Margin Remote sensing Supervised learning Support vector machine Machine learning Artificial intelligence Statistics
995	Human Pose Estimation using Body Parts Dependent Joint Regressors Matthias Dantone1 ETH Zurich, Switzerland1 Juergen Gall2 Christian Leistner3 Add to Reading List Source URL: www.vision.ee.ethz.ch Language: English - Date: 2013-04-20 09:50:20 Statistical methods Machine learning Supervised learning Statistics Econometrics Regression analysis
996	Active learning of visual descriptors for grasping using non-parametric smoothed beta distributions Add to Reading List Source URL: first-mm.informatik.uni-freiburg.de Language: English - Date: 2012-07-18 13:08:49 Econometrics Estimation theory Learning Supervised learning Linear regression Humanoid robot Machine learning Prior probability Stability Statistics Regression analysis Bayesian statistics
997	Structure Learning with Hidden Data in Relational Domains - Opening the Closed-World Assumption Add to Reading List Source URL: first-mm.informatik.uni-freiburg.de Language: English - Date: 2013-07-24 09:27:48 Functions and mappings Model theory Ensemble learning Gradient boosting Function Expectation–maximization algorithm Supervised learning First-order logic Regression analysis Statistics Mathematics Machine learning
998	Structure Learning with Hidden Data in Relational Domains - Opening the Closed-World Assumption Add to Reading List Source URL: www.first-mm.eu Language: English - Date: 2013-07-24 09:27:48 Functions and mappings Model theory Ensemble learning Gradient boosting Function Expectation–maximization algorithm Supervised learning First-order logic Regression analysis Statistics Mathematics Machine learning
999	Structure Learning with Hidden Data in Relational Domains Tushar Khot, Sriraam Natarajan∗ , Kristian Kersting∗+ , Jude Shavlik University of Wisconsin-Madison, USA ∗ Wake Forest University School of Medicine, USA Add to Reading List Source URL: first-mm.informatik.uni-freiburg.de Language: English - Date: 2012-07-18 16:57:18 Model theory Statistical models Ensemble learning Gradient boosting Expectation–maximization algorithm Function First-order logic Regression analysis Supervised learning Statistics Mathematics Machine learning
1000	Structure Learning with Hidden Data in Relational Domains Tushar Khot, Sriraam Natarajan∗ , Kristian Kersting∗+ , Jude Shavlik University of Wisconsin-Madison, USA ∗ Wake Forest University School of Medicine, USA Add to Reading List Source URL: www.first-mm.eu Language: English - Date: 2012-07-18 16:57:18 Model theory Statistical models Ensemble learning Gradient boosting Expectation–maximization algorithm Function First-order logic Regression analysis Supervised learning Statistics Mathematics Machine learning

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