Cargando…

Essentials of Game Theory A Concise Multidisciplinary Introduction /

Game theory is the mathematical study of interaction among independent, self-interested agents. The audience for game theory has grown dramatically in recent years, and now spans disciplines as diverse as political science, biology, psychology, economics, linguistics, sociology, and computer science...

Descripción completa

Detalles Bibliográficos
Clasificación:	Libro Electrónico
Autores principales:	Leyton-Brown, Kevin (Autor), Shoham, Yoav (Autor)
Autor Corporativo:	SpringerLink (Online service)
Formato:	Electrónico eBook
Idioma:	Inglés
Publicado:	Cham : Springer International Publishing : Imprint: Springer, 2008.
Edición:	1st ed. 2008.
Colección:	Synthesis Lectures on Artificial Intelligence and Machine Learning,
Temas:	Artificial intelligence. Machine learning. Neural networks (Computer science) . Artificial Intelligence. Machine Learning. Mathematical Models of Cognitive Processes and Neural Networks.
Acceso en línea:	Texto Completo

Ejemplares similares

A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence
por: Vlassis, Nikos
Publicado: (2007)

Introduction to Semi-Supervised Learning
por: Zhu, Xiaojin, et al.
Publicado: (2009)

Intelligent Autonomous Robotics A Robot Soccer Case Study /
por: Stone, Peter
Publicado: (2007)

Representation Discovery using Harmonic Analysis
por: Mahadevan, Sridhar
Publicado: (2008)

Action Programming Languages
por: Thielscher, Michael
Publicado: (2008)

Markov Logic An Interface Layer for Artificial Intelligence /
por: Domingos, Pedro, et al.
Publicado: (2009)

Deep learning with Microsoft Cognitive Toolkit quick start guide : a practical guide to building neural networks using Microsoft's open source deep learning framework /
por: Meints, Willem
Publicado: (2019)

Deep learning with Microsoft Cognitive Toolkit quick start guide : a practical guide to building neural networks using Microsoft's open source deep learning framework /
por: Meints, Willem
Publicado: (2019)

Deep learning shen du xue xi ji chu : she ji xia yi dai ren gong zhi hui yan suan fa = Fundamentals of deep learning : designing next-generation machine intelligence algorithms /
por: Buduma, Nikhil
Publicado: (2018)

Getting started with deep learning /
por: Patterson, Josh (Consultant), et al.
Publicado: (2018)

Hands-on generative adversarial networks with Keras : your guide to implementing next-generation generative adversarial networks /
por: Valle, Rafael, 1985-
Publicado: (2019)

Proceedings of the Fifth International Conference on Fuzzy and Neuro Computing (FANCCO - 2015)
Publicado: (2015)

Type-2 Fuzzy Neural Networks and Their Applications
por: Aliev, Rafik Aziz, et al.
Publicado: (2014)

R deep learning essentials : a step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet /
por: Hodnett, Mark, et al.
Publicado: (2018)

Machine learning : theory and applications /
Publicado: (2013)

Hands-On Artificial Intelligence for Beginners : an Introduction to AI Concepts, Algorithms, and Their Implementation.
por: Smith, Patrick D.
Publicado: (2018)

Deep learning with R /
por: Chollet, François, et al.
Publicado: (2018)

TensorFlow deep learning projects : 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning /
por: Massaron, Luca
Publicado: (2018)

Generative Adversarial Networks Projects : Build Next-Generation Generative Models Using TensorFlow and Keras.
por: Ahirwar, Kailash
Publicado: (2019)

Python shen du xue xi ru men : cong ling gou jian CNN he RNN = Deep learning from scratch /
por: Weidman, Seth
Publicado: (2021)

Deep learning with PyTorch quick start guide : learn to train and deploy neural network models in Python /
por: Julian, David
Publicado: (2018)

Python deep learning projects : 9 projects demystifying neural network and deep learning models for building intelligent systems /
por: Lamons, Matthew, et al.
Publicado: (2018)

Deep learning from scratch : building with Python from first principles /
por: Weidman, Seth
Publicado: (2019)

Advanced deep learning with TensorFlow 2 and Keras : apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more /
por: Atienza, Rowel
Publicado: (2020)

Advanced deep learning with R : become an expert at designing, building, and improving advanced neural network models using R /
por: Rai, Bharatendra K.
Publicado: (2019)

Engineering General Intelligence, Part 1 A Path to Advanced AGI via Embodied Learning and Cognitive Synergy /
por: Goertzel, Ben, et al.
Publicado: (2014)

ADVANCED DEEP LEARNING WITH TENSORFLOW 2 AND KERAS : APPLY DL, GANS, VAES, DEEP RL, UNSUPERVISED LEARNING, OBJECT DETECTION AND SEGMENTATION, AND MORE.
por: Atienza, Rowel
Publicado: (2020)

Deep Learning with TensorFlow 2 and Keras : Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API, 2nd Edition. /
por: Gulli, Antonio
Publicado: (2019)

Deep learning.
Publicado: (2023)

Deep learning.
Publicado: (2023)

Deep learning.
Publicado: (2023)

Deep learning with PyTorch : a practical approach to building neural network models using PyTorch /
por: Subramanian, Vishnu
Publicado: (2018)

Deep learning with PyTorch : a practical approach to building neural network models using PyTorch /
por: Subramanian, Vishnu
Publicado: (2018)

Artificial intelligence and machine learning fundamentals /
por: Nagy, Zsolt
Publicado: (2018)

Introduction to computer vision with TensorFlow : using convolutional neural networks and TensorFlow to solve computer vision tasks /
Publicado: (2017)

Mastering TensorFlow 1.x : Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras.
por: Fandango, Armando
Publicado: (2018)

How Smart Machines Think /
por: Gerrish, Sean
Publicado: (2018)

Playing with GANs : building, coding, and modifying deep learning GAN models.
Publicado: (2021)

Hands-on neural networks with Keras : design and create neural networks using deep learning and artificial intelligence principles /
por: Purkait, Niloy
Publicado: (2019)

Generative adversarial networks projects : build next-generation generative models using TensorFlow and Keras /
por: Ahirwar, Kailash
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_f1v2p28pkn1ffdp1tvft3e8a0f