Through its partnership with Cipher9, both parties hope to use Goooo AI Research Labs as a long-term research and development platform to continuously explore the application of artificial ...

Abstract: This article deals with a risk probability minimization problem for finite horizon continuous-time Markov decision processes with unbounded transition rates and history-dependent policies.

Most optimization problems in control theory assume you're working in flat space. You have a system, you want to steer it from one state to another, and you minimize some cost along the way. This ...

In dusty excavation reports and antiquarian volumes, a lawyer-turned-archaeologist has uncovered evidence that upends the known history of human gambling. Limited time: Save 25% on NBC News ...

In dusty excavation reports and antiquarian volumes, a lawyer-turned-archaeologist has uncovered evidence that upends the known history of human gambling. The findings, published Thursday in the ...

Sometimes in a comparison of the frequency of observations in a fourfold table the numbers are too small for the χ² test (Chapter 8). The exact probability test devised by Fisher, Irwin, and Yates (1) ...

For the second time this season, the West Virginia Mountaineers will get an opportunity to pick up a win over a ranked opponent, albeit on the road. Houston enters this matchup ranked 22nd in the AP ...

Augmented inverse probability weighting (AIPW) is a doubly robust estimator for causal inference. The AIPW package is designed for estimating the average treatment effect of a binary exposure on risk ...

Probability theory is indispensable in computer science: It is at the core of artificial intelligence and machine learning, which require decision making under uncertainty. It is integral to CS theory ...

The course provides a precise and accurate treatment of probability, distribution theory and statistical inference. As such there will be a strong emphasis on mathematical statistics as important ...