The Feb. 17, 2025 edition of The Property Chronicle features an article by Norm Miller, PhD, Ernest W. Hahn Chair of Real Estate Finance, Emeritus, titled Algorithms, Dynamic Pricing and Resi Rents.
Abstract: Traveling salesman problem (TSP) is a combinatorial optimization problem, serving as basis for many real-world applications (e.g., transportation planning, circuit board design, and DNA ...
FILE -The entrance to Florida State Prison in Starke, Fla. is shown Thursday, Aug. 3, 2023. (AP Photo/Curt Anderson) (Curt Anderson, Copyright 2025 The Associated ...
Florida sets execution date for man convicted of killing a traveling salesman during a robberyThe Associated PressTALLAHASSEE, Fla.A man convicted of killing a traveling salesman during a robbery is ...
The growing push to rethink invasive plant management is getting fresh attention thanks to a new book from the Missouri Botanical Garden, 'Love Them to Death: Turning Invasive Plants into Local ...
Dec. 2 (UPI) --The Conners actress Laurie Metcalf and Only Murders in the Building alum Nathan Lane have signed on to star in Broadway's latest revival of Arthur Miller's 1949 play, Death of a ...
Performances in N.Y.C. Advertisement Supported by Joe Mantello will direct the next revival of Arthur Miller’s “Death of a Salesman,” opening in April at the Winter Garden Theater. By Michael Paulson ...
ABSTRACT: A new nano-based architectural design of multiple-stream convolutional homeomorphic error-control coding will be conducted, and a corresponding hierarchical implementation of important class ...
In this tutorial, we explore how exploration strategies shape intelligent decision-making through agent-based problem solving. We build and train three agents, Q-Learning with epsilon-greedy ...
ABSTRACT: With the deepening of global economic integration, maritime logistics has become the core pillar of international trade, carrying more than 80% of global trade volume. Among the factors ...
High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...
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