Zobrazeno 1 - 4
of 4
pro vyhledávání: '"94(9)"'
Autor:
Luca Oneto
How can we select the best performing data-driven model? How can we rigorously estimate its generalization error? Statistical learning theory answers these questions by deriving non-asymptotic bounds on the generalization error of a model or, in othe
Autor:
Yuri Malitsky
This book presents a modular and expandable technique in the rapidly emerging research area of automatic configuration and selection of the best algorithm for the instance at hand. The author presents the basic model behind ISAC and then details a nu
Autor:
Sung Kyu Lim
This book provides readers with a variety of algorithms and software tools, dedicated to the physical design of through-silicon-via (TSV) based, three-dimensional integrated circuits. It describes numerous “manufacturing-ready” GDSII-level layout
This book describes an award-winning evolutionary algorithm that outperformed experts and conventional heuristics in solving several industrial problems. It presents a discussion of the theoretical and practical aspects that enabled μGP (MicroGP) to