Asymmetric normed spaces extend the classical framework of normed spaces by allowing the distance function to lack the symmetry property. This refinement facilitates the capture of directional or ...
Research team debuts the first deterministic streaming algorithms for non-monotone submodular maximization, delivering superior approximation ratios with minimal memory and real-time throughput on ...
1don MSN
AI’s Memorization Crisis
O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...
@Note: Please cite the following papers if you use the tool developed in this package. A Unified Approach for Learning the Parameters of Sum-Product Networks by H. Zhao, P. Poupart and G. Gordon, NIPS ...
Abstract: This paper presents a digital low-dropout regulator (DLDO) architecture employing the improved successive approximation logic algorithm as its control strategy. The algorithm is combined ...
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