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Training Deep Architectures Without End-to-End Backpropagation: A Survey on t…
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Duan, ShiyuPrincipe, Jose C.

This tutorial paper surveys provably optimal alternatives to end-to-end backpropagation (E2EBP) — the de facto standard for training deep architectures. Modular training refers to strictly local …

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Analysis of Agent Expertise in Ms. Pac-Man Using Value-of-Information-Based P…
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Principe, Jose C.Sledge, Isaac John

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Reinforcement Learning in Video Games Using Nearest Neighbor Interpolation an…
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Pardalos, Panos M.Principe, Jose C.Emigh, Matthew S.Kriminger, Evan G.Brockmeier, Austin J.

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Cyborg Intelligence : Towards Bio-Machine Intelligent Systems
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Cichocki, AndrzejPrincipe, Jose C.Pan, GangWu, Zhaohui

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Universal Approximation with Convex Optimization: Gimmick or Reality?
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Principe, Jose C.Chen, Badong

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Computational Intelligence Challenges and Applications on Large-Scale Astrono…
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Protopapas, PavlosHuijse, PabloEstevez, Pablo A.Principe, Jose C.Zegers, Pablo


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Ditemukan 6 dari pencarian Anda melalui kata kunci: Pengarang : Principe, Jose C.
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Saran
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Extending Conditional Dependencies with Built-in Predicates
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Bayesian curve classification using wavelets
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Influence of dampers on seismic response of cable-supported bridge towers
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