Gradient analysis

Results: 519



#Item
301Applied mathematics / Stochastic optimization / M-estimators / Computational statistics / Stochastic gradient descent / Linear programming / Gradient descent / Approximation algorithm / Numerical analysis / Mathematical optimization / Operations research

The Tradeoffs of Large Scale Learning L´ eon Bottou NEC Laboratories of America Princeton, NJ, USA

Add to Reading List

Source URL: leon.bottou.org

Language: English - Date: 2010-12-28 10:47:50
302Mathematics / Grey / Optical spectrum / Gradient / Mathematical analysis / Color / Shades of gray

visual_standards_VAC2014_ver01

Add to Reading List

Source URL: www.volunteeractioncounts.org

Language: English - Date: 2014-10-28 06:31:46
303Environment of the United States / Alternative energy / Bureau of Land Management / Conservation in the United States / United States Department of the Interior / Renewable energy / Geothermal gradient / Geothermal heating / Geology / Geothermal energy / Energy

Vol. I - Programmatic Analysis Geothermal DPEIS

Add to Reading List

Source URL: www.blm.gov

Language: English - Date: 2015-01-03 06:49:54
304Nelder–Mead method / Mathematical optimization / Conjugate gradient method / Gradient descent / Simplex / Numerical analysis / Operations research / Mathematics

15 Optimization Once you’ve gathered your data, selected a representation to work with, chosen a framework for function approximation, specified an error metric, and expressed your prior beliefs about the model, then

Add to Reading List

Source URL: fab.cba.mit.edu

Language: English - Date: 2014-04-29 10:51:08
305Decision trees / Reinforcement learning / Supervised learning / Decision tree learning / Gradient boosting / Imitation / Regression analysis / Machine learning / Statistics / Learning

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: first-mm.informatik.uni-freiburg.de

Language: English - Date: 2013-07-24 09:17:35
306Decision trees / Reinforcement learning / Supervised learning / Decision tree learning / Gradient boosting / Imitation / Regression analysis / Machine learning / Statistics / Learning

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
307Functions and mappings / Model theory / Ensemble learning / Gradient boosting / Function / Expectation–maximization algorithm / Supervised learning / First-order logic / Regression analysis / Statistics / Mathematics / Machine learning

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
308Functions and mappings / Model theory / Ensemble learning / Gradient boosting / Function / Expectation–maximization algorithm / Supervised learning / First-order logic / Regression analysis / Statistics / Mathematics / Machine learning

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
309Model theory / Statistical models / Ensemble learning / Gradient boosting / Expectation–maximization algorithm / Function / First-order logic / Regression analysis / Supervised learning / Statistics / Mathematics / Machine learning

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
310Model theory / Statistical models / Ensemble learning / Gradient boosting / Expectation–maximization algorithm / Function / First-order logic / Regression analysis / Supervised learning / Statistics / Mathematics / Machine learning

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
UPDATE