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Florida woman mauled to death by two dogs despite neighbors reporting owner to police multiple times
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Brendan Sorsby wins court injunction against the NCAA despite betting on his own team multiple times
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Deterministic versus Stochastic Optimization for Joint Path Planning and Dynamic Time Splitting in Multiple-UAV-Cached IoT Networks
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Wave propagation and scattering in time dependent media: Lippmann-Schwinger equations, multiple scattering theory, Kirchhoff Helmholtz integrals, Green's functions, reciprocity theorems and Huygens' principle
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Man jailed for knife attack after stabbing friend and kicking woman in face
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On the importance of multiple training seeds for evaluating machine unlearning
arXiv:2510.26714v5 Announce Type: replace Abstract: Machine unlearning aims to remove the influence of certain data points from a trained model without costly retraining. Most practical unlearning algorithms are only approximate and their performance can only be assessed empirically. Common practice is to run unlearning algorithms multiple times independently (i.e., using multiple unlearning seeds) starting from the same trained model (i.e., using only a single training seed ).
Exploiting Multiple Abstract Call Patterns for Optimizing Run-Time Checks
arXiv:2606.01076v1 Announce Type: new Abstract: In strongly-typed languages, types are verified at compile time, while dynamically typed languages, such as Prolog, perform type consistency checks entirely at run-time. Extending dynamic languages with assertions allows expressing both classical types and more general properties, providing high expressiveness, but at the cost of run-time overhead. Abstract interpretation allows safely approximating such program properties at compile time,...
Constrained Deep Reinforcement Learning for Cognitive Radar Resource Management
arXiv:2606.05526v1 Announce Type: new Abstract: In this paper, multi-target tracking and scanning are considered in a radar system operating in the track-while-scan mode. Specifically, time allocation for radar scanning and tracking of multiple maneuvering targets under a time budget constraint is addressed, aiming to jointly optimize the performance of both tracking and scanning in a cognitive radar. We first present the details of the model for tracking and scanning and formulate the time...