Systematic sampling is straightforward and low risk, offering better control. However, it may introduce sampling errors and ...

Influence of Elephant-Driven Vegetation Structure and Altitudinal Gradient on the Occurrence of the Endemic Mount Cameroon Francolin ...

Post-modern portfolio theory uses downside risk to refine portfolio optimization. Learn how PMPT offers an alternative to modern portfolio theory for risk-adjusted returns.

Abstract: Automated model generation (AMG) algorithms have become popular techniques for the systematic development of artificial neural network (ANN) models for microwave components. However, ...

The Tesla Model 3 Standard arrives with fabric seats, 321 miles of range and rear-wheel drive. It's set to cost $36,990, making it one of the most affordable cars Tesla has ever sold, and the cheapest ...

Base Model Y isn’t as cheap as we’d hoped, and several rivals are still more affordable. Remember Tesla’s $25,000 budget EV? Neither do we, since it was scrapped before it ever reached production. But ...

Ohio State president Ted Carter said Big Ten's equal-share revenue distribution model could be reconsidered when next TV deal is negotiated. The deal paid schools $63 million-plus in FY24. Those ...

Ohio State president Ted Carter believes a conversation will be had on changing the Big Ten's revenue-sharing distribution model, made up of media rights and postseason success. The ACC recently ...

Paramount+ will be the new U.S. home of all UFC numbered events and Fight Nights beginning in 2026 as part of a seven-year media rights agreement announced Monday by Paramount -- a Skydance ...

New indie comic book distributor Philbo Distribution, founded by Phillip Russertt, has its new catalogue out, Phillviews, for comic books shipping in November. As Bleeding Cool revealed the terms and ...

Elon Musk has finally confirmed that Tesla’s new ‘affordable’ electric car is just going to be the Model Y in a cheaper format. Musk has ended months of speculations and misinformation, which he ...

Abstract: Model-based reinforcement learning (RL), which learns an environment model from the offline dataset and generates more out-of-distribution model data, has become an effective approach to the ...