Learning Graphical Models
A graphical model or probabilistic graphical model (PGM) or structured probabilistic model is a probabilistic model for which a graph expresses the conditional dependence structure between random variables. They are commonly used in probability theory, statistics—particularly Bayesian statistics—and machine learning. (Wikipedia)
Country:
- Oceania > Australia > Victoria > Melbourne (0.04)
- North America > United States > Pennsylvania > Allegheny County > Pittsburgh (0.04)
- North America > Canada > Quebec > Montreal (0.04)
- (3 more...)
Genre:
- Research Report > Experimental Study (0.46)
- Research Report > New Finding (0.46)
Industry:
- Health & Medicine > Therapeutic Area > Neurology > Autism (0.68)
- Government > Regional Government > North America Government > United States Government (0.46)
Technology:
- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models > Directed Networks > Bayesian Learning (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (0.70)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Uncertainty > Bayesian Inference (0.68)
On Tractable Computation of Expected Predictions
Pasha Khosravi, YooJung Choi, Yitao Liang, Antonio Vergari, Guy Van den Broeck
Neural Information Processing Systems
Neural Information Processing Systems http://nips.cc/
Country:
- North America > United States > California > Los Angeles County > Los Angeles (0.14)
- Oceania > Australia > Tasmania (0.04)
- North America > Canada (0.04)
- Indian Ocean > Bass Strait (0.04)
Technology:
- Information Technology > Data Science > Data Mining (1.00)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Uncertainty (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models > Directed Networks > Bayesian Learning (0.47)
Counting the Optimal Solutions in Graphical Models
Neural Information Processing Systems
Neural Information Processing Systems http://nips.cc/
Country:
- North America > United States > California > Orange County > Irvine (0.14)
- North America > Canada (0.04)
- Europe > Ireland > Leinster > County Dublin > Dublin (0.04)
- Europe > Denmark > North Jutland > Aalborg (0.04)
Technology:
- Information Technology > Artificial Intelligence > Representation & Reasoning > Search (1.00)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Uncertainty (0.93)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Optimization (0.69)
- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models > Directed Networks > Bayesian Learning (0.46)
Country:
- North America > United States > Georgia > Fulton County > Atlanta (0.04)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
- Asia (0.04)
Learning convex bounds for linear quadratic control policy synthesis
Jack Umenberger, Thomas B. Schön
Neural Information Processing Systems
Neural Information Processing Systems http://nips.cc/
Country:
- Europe > Sweden > Uppsala County > Uppsala (0.04)
- Asia > Middle East > Jordan (0.04)
- North America > United States > New Jersey (0.04)
- (2 more...)
Technology:
Why so gloomy? A Bayesian explanation of human pessimism bias in the multi-armed bandit task
Neural Information Processing Systems
Neural Information Processing Systems http://nips.cc/
Country:
- North America > United States > California > San Diego County > San Diego (0.04)
- North America > United States > California > San Diego County > La Jolla (0.04)
- North America > United States > Massachusetts > Middlesex County > Cambridge (0.04)
- North America > Canada > Quebec > Montreal (0.04)
Genre:
- Research Report > New Finding (0.68)
- Research Report > Experimental Study (0.47)
Technology:
- Information Technology > Artificial Intelligence > Representation & Reasoning > Uncertainty > Bayesian Inference (0.93)
- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models > Directed Networks > Bayesian Learning (0.68)
- Information Technology > Data Science > Data Mining > Big Data (0.65)
The Broad Optimality of Profile Maximum Likelihood
Neural Information Processing Systems
Neural Information Processing Systems http://nips.cc/
Country:
- North America > United States > California > San Diego County > San Diego (0.05)
- Asia > Afghanistan > Parwan Province > Charikar (0.04)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
- North America > Canada (0.04)
Technology:
- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (0.47)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Uncertainty > Bayesian Inference (0.42)
- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models > Directed Networks > Bayesian Learning (0.42)
Country:
Technology:
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (1.00)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Uncertainty > Bayesian Inference (0.94)
- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models > Directed Networks > Bayesian Learning (0.68)
- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (0.68)
Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing
Zehong Hu, Yitao Liang, Jie Zhang, Zhao Li, Yang Liu
Neural Information Processing Systems
Neural Information Processing Systems http://nips.cc/
Country:
- North America > United States > California > Los Angeles County > Los Angeles (0.14)
- Asia > China > Zhejiang Province > Hangzhou (0.04)
- North America > United States > California > Santa Cruz County > Santa Cruz (0.04)
- (3 more...)
Technology:
- Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models (0.68)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Uncertainty > Bayesian Inference (0.51)
Proximal Graphical Event Models
Debarun Bhattacharjya, Dharmashankar Subramanian, Tian Gao
Neural Information Processing Systems
Neural Information Processing Systems http://nips.cc/
Country:
- South America > Brazil (0.04)
- North America > Mexico (0.04)
- South America > Colombia (0.04)
- (6 more...)
Technology:
- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models > Directed Networks > Bayesian Learning (1.00)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Search (0.70)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Uncertainty > Bayesian Inference (0.69)