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Cărți Machine learning / Deep learning , pagina 5

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Centrality and Diversity in Search: Roles in A.I., Machine Learning, Social Networks, and Pattern Recognition

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Guide to Deep Learning Basics: Logical, Historical and Philosophical Perspectives

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Urban Intelligence and Applications: Proceedings of ICUIA 2019

Studies in Distributed Intelligence

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Analog IC Placement Generation via Neural Networks from Unlabeled Data

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iul 2020

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Detecting Trust and Deception in Group Interaction

Terrorism, Security, and Computation

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8 feb 2022

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A Machine Learning Based Model of Boko Haram

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Machine Learning Control by Symbolic Regression

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Machine Learning for Cyber Agents: Attack and Defence

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Artificial Intelligence for Cybersecurity

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The Springer Series in Applied Machine Learning

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Parallel Problem Solving from Nature – PPSN XVII: 17th International Conference, PPSN 2022, Dortmund, Germany, September 10–14, 2022, Proceedings, Part II

Lecture Notes in Computer Science, nr. 13399

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Procedural Content Generation via Machine Learning: An Overview

Synthesis Lectures on Games and Computational Intelligence

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Machine Learning for Sustainable Development

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Machine Learning under Resource Constraints - Fundamentals

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Machine Learning under Resource Constraints - Discovery in Physics

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Machine Learning under Resource Constraints - Applications

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Machine Learning Systems for Multimodal Affect Recognition

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Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces

Schriftenreihe der Institute für Systemdynamik (ISD) und optische Systeme (IOS)

Autor Pascal Laube

3 ian 2020

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Reinforcement Learning Aided Performance Optimization of Feedback Control Systems

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4 mar 2021

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Reinforcement Learning with Hybrid Quantum Approximation in the NISQ Context

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Transactions on Computational Science XXXIV

Lecture Notes in Computer Science, nr. 11820

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Künstliche Intelligenz: Vom Schachspieler zur Superintelligenz?

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Accelerated Optimization for Machine Learning

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Deep Neural Evolution: Deep Learning with Evolutionary Computation

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Embracing Industry 4.0: Selected Articles from MUCET 2019

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Deep Learning and Practice with MindSpore

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Distributed Machine Learning and Gradient Optimization

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Genetic Programming for Production Scheduling: An Evolutionary Learning Approach

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Machine Learning and Internet of Things for Societal Issues

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Graph Neural Networks: Foundations, Frontiers, and Applications

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Deep Learning for Hyperspectral Image Analysis and Classification

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Generative Adversarial Networks for Image Generation

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Computer Arithmetic - Volume III: Essays by Benjamin a Elman

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Autor Jr. Swartzlander, Earl E.

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Computational Methods for Deep Learning: Theory, Algorithms, and Implementations

Texts in Computer Science

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Deep Reinforcement Learning with Python: RLHF for Chatbots and Large Language Models

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Cărți Machine learning / Deep learning , pagina 5

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