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Growing Adaptive Machines: Combining Development and Learning in Artificial Neural Networks (Repost)

Posted By: DZ123
Growing Adaptive Machines: Combining Development and Learning in Artificial Neural Networks (Repost)

Taras Kowaliw, Nicolas Bredeche, René Doursat, "Growing Adaptive Machines: Combining Development and Learning in Artificial Neural Networks"
English | 2014 | ISBN: 3642553362 | PDF | pages: 266 | 7.7 mb

High Dimensional Neurocomputing: Growth, Appraisal and Applications (Repost)

Posted By: AvaxGenius
High Dimensional Neurocomputing: Growth, Appraisal and Applications (Repost)

High Dimensional Neurocomputing: Growth, Appraisal and Applications by Bipin Kumar Tripathi
English | PDF,EPUB | 2015 | 179 pages | ISBN : 8132220730 | 13.33 MB

The book presents a coherent understanding of computational intelligence from the perspective of what is known as "intelligent computing" with high-dimensional parameters. It critically discusses the central issue of high-dimensional neurocomputing, such as quantitative representation of signals, extending the dimensionality of neuron, supervised and unsupervised learning and design of higher order neurons. The strong point of the book is its clarity and ability of the underlying theory to unify our understanding of high-dimensional computing where conventional methods fail. The plenty of application oriented problems are presented for evaluating, monitoring and maintaining the stability of adaptive learning machine. Author has taken care to cover the breadth and depth of the subject, both in the qualitative as well as quantitative way. The book is intended to enlighten the scientific community, ranging from advanced undergraduates to engineers, scientists and seasoned researchers in computational intelligence.

Cognitively Inspired Natural Language Processing: An Investigation Based on Eye-tracking

Posted By: AvaxGenius
Cognitively Inspired Natural Language Processing: An Investigation Based on Eye-tracking

Cognitively Inspired Natural Language Processing: An Investigation Based on Eye-tracking by Abhijit Mishra
English | PDF,EPUB | 2018 | 184 Pages | ISBN : 9811315159 | 7.48 MB

This book shows ways of augmenting the capabilities of Natural Language Processing (NLP) systems by means of cognitive-mode language processing. The authors employ eye-tracking technology to record and analyze shallow cognitive information in the form of gaze patterns of readers/annotators who perform language processing tasks. The insights gained from such measures are subsequently translated into systems that help us (1) assess the actual cognitive load in text annotation, with resulting increase in human text-annotation efficiency, and (2) extract cognitive features that, when added to traditional features, can improve the accuracy of text classifiers. In sum, the authors’ work successfully demonstrates that cognitive information gleaned from human eye-movement data can benefit modern NLP.

Artificial Intelligence

Posted By: AvaxGenius
Artificial Intelligence

Artificial Intelligence: First CCF International Conference, ICAI 2018, Jinan, China, August 9-10, 2018, Proceedings by Zhi-Hua Zhou
English | PDF | 2018 | 239 Pages | ISBN : 9811321213 | 16.60 MB

This book constitutes the refereed proceedings of the First CCF International Conference on Artificial Intelligence, CCF-ICAI 2018, held in Jinan, China in August, 2018. The 17 papers presented were carefully reviewed and selected from 82 submissions. The papers are organized in topical sections on unsupervised learning, graph-based and semi-supervised learning, neural networks and deep learning, planning and optimization, AI applications.

JMP 14 : Predictive and Specialized Modeling

Posted By: readerXXI
JMP 14 : Predictive and Specialized Modeling

JMP 14 : Predictive and Specialized Modeling
by SAS Institute
English | 2018 | ISBN: 1635265215 | 454 Pages | ePUB | 6.92 MB

Neural Network Programming with TensorFlow

Posted By: readerXXI
Neural Network Programming with TensorFlow

Neural Network Programming with TensorFlow
by Manpreet Singh Ghotra and Rajdeep Dua
English | 2017 | ISBN: 1788390393 | 266 Pages | True PDF | 18 MB

Learning from Data: Concepts, Theory, and Methods (Repost)

Posted By: step778
Learning from Data: Concepts, Theory, and Methods (Repost)

Vladimir Cherkassky, Filip M. Mulier, "Learning from Data: Concepts, Theory, and Methods"
2007 | pages: 557 | ISBN: 0471681822 | PDF | 4,0 mb

High Dimensional Neurocomputing: Growth, Appraisal and Applications (Repost)

Posted By: AvaxGenius
High Dimensional Neurocomputing: Growth, Appraisal and Applications (Repost)

High Dimensional Neurocomputing: Growth, Appraisal and Applications by Bipin Kumar Tripathi
English | PDF,EPUB | 2015 | 179 pages | ISBN : 8132220730 | 13.33 MB

The book presents a coherent understanding of computational intelligence from the perspective of what is known as "intelligent computing" with high-dimensional parameters. It critically discusses the central issue of high-dimensional neurocomputing, such as quantitative representation of signals, extending the dimensionality of neuron, supervised and unsupervised learning and design of higher order neurons. The strong point of the book is its clarity and ability of the underlying theory to unify our understanding of high-dimensional computing where conventional methods fail. The plenty of application oriented problems are presented for evaluating, monitoring and maintaining the stability of adaptive learning machine. Author has taken care to cover the breadth and depth of the subject, both in the qualitative as well as quantitative way. The book is intended to enlighten the scientific community, ranging from advanced undergraduates to engineers, scientists and seasoned researchers in computational intelligence.

Mathematical Foundation for AI and Machine Learning

Posted By: Prometheus
Mathematical Foundation for AI and Machine Learning

Mathematical Foundation for AI and Machine Learning
MP4 | Video: MPEG-4 1920x1080 | Audio: AAC, 44.1 KHz @ 128 Kbps 2ch
Duration: 4.25 hours | Language: English | 690 MB
Genre: eLearning Video / Development / Programming

Learn the core mathematical concepts for machine learning and learn to implement them in R and Python. Artificial Intelligence has gained importance in the last decade with a lot depending on the development and integration of AI in our daily lives. The progress that AI has already made is astounding with innovations like self-driving cars, medical diagnosis and even beating humans at strategy games like Go and Chess.

Neural Advances in Processing Nonlinear Dynamic Signals

Posted By: AvaxGenius
Neural Advances in Processing Nonlinear Dynamic Signals

Neural Advances in Processing Nonlinear Dynamic Signals by Anna Esposito
English | PDF,EPUB | 2018 (2019 Edition) | 313 Pages | ISBN : 3319950975 | 19.01 MB

This book proposes neural networks algorithms and advanced machine learning techniques for processing nonlinear dynamic signals such as audio, speech, financial signals, feedback loops, waveform generation, filtering, equalization, signals from arrays of sensors, and perturbations in the automatic control of industrial production processes. It also discusses the drastic changes in financial, economic, and work processes that are currently being experienced by the computational and engineering sciences community.

Blind Equalization in Neural Networks : Theory, Algorithms and Applications

Posted By: readerXXI
Blind Equalization in Neural Networks : Theory, Algorithms and Applications

Blind Equalization in Neural Networks : Theory, Algorithms and Applications
by Liyi Zhang and Yunshan Sun
English | 2018 | ISBN: 3110449625 | 256 Pages | ePUB | 34 MB

Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning

Posted By: First1
Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning

Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning by Benjamin Bengfort, Rebecca Bilbro, Tony Ojeda
English | June 11st, 2018 | ISBN: 1491963042 | 332 Pages | EPUB (True/HQ) | 10.82 MB

From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is through the creative application of text analytics. This practical book presents a data scientist’s approach to building language-aware products with applied machine learning.

Deep Learning Cookbook: Practical Recipes to Get Started Quickly

Posted By: First1
Deep Learning Cookbook: Practical Recipes to Get Started Quickly

Deep Learning Cookbook: Practical Recipes to Get Started Quickly by Douwe Osinga
English | June 23rd, 2018 | ISBN: 149199584X | 252 Pages | EPUB (True/HQ) | 9.14 MB

Deep learning doesn’t have to be intimidating. Until recently, this machine-learning method required years of study, but with frameworks such as Keras and Tensorflow, software engineers without a background in machine learning can quickly enter the field. With the recipes in this cookbook, you’ll learn how to solve deep-learning problems for classifying and generating text, images, and music.

Geometric Algebra Applications Vol. I: Computer Vision, Graphics and Neurocomputing (Repost)

Posted By: AvaxGenius
Geometric Algebra Applications Vol. I: Computer Vision, Graphics and Neurocomputing (Repost)

Geometric Algebra Applications Vol. I: Computer Vision, Graphics and Neurocomputing by Eduardo Bayro-Corrochano
English | PDF,EPUB | 2018 (2019 Edition) | 753 Pages | ISBN : 3319748289 | 43.69 MB

The goal of the Volume I Geometric Algebra for Computer Vision, Graphics and Neural Computing is to present a unified mathematical treatment of diverse problems in the general domain of artificial intelligence and associated fields using Clifford, or geometric, algebra.

Recent Advances in Applications of Computational and Fuzzy Mathematics

Posted By: AvaxGenius
Recent Advances in Applications of Computational and Fuzzy Mathematics

Recent Advances in Applications of Computational and Fuzzy Mathematics by Snehashish Chakraverty
English | PDF,EPUB | 2018 | 184 Pages | ISBN : 9811311528 | 15.14 MB

This book addresses the basics of interval/fuzzy set theory, artificial neural networks (ANN) and computational methods. It presents step-by-step modeling for application problems along with simulation and numerical solutions.
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