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Computational Models of Reading: A Handbook (OXFORD SERIES ON COGNITIVE MODELS)
Computational Models of Reading: A Handbook (OXFORD SERIES ON COGNITIVE MODELS)
This book is about computational models of reading, or models that explain (and often simulate) the mental processes that allow us to convert the marks on a printed page into the representations that allow us to understand the contents of what we are reading. Computational Models of Reading
assumes no prior knowledge of the
...
Computational Methods for Deep Learning: Theoretic, Practice and Applications (Texts in Computer Science)
Computational Methods for Deep Learning: Theoretic, Practice and Applications (Texts in Computer Science)

Integrating concepts from deep learning, machine learning, and artificial neural networks, this highly unique textbook presents content progressively from easy to more complex, orienting its content about knowledge transfer from the viewpoint of machine intelligence. It adopts the methodology from graphical theory, mathematical...

Calculus Demystified : A Self Teaching Guide
Calculus Demystified : A Self Teaching Guide
LEARNING CALCULUS JUST GOT A LOT EASIER!

Here’s an innovative shortcut to gaining a more intuitive understanding of both differential and integral calculus. In Calculus Demystified an experienced teacher and author of more than 30 books puts all the math background you need inside and uses practical examples,...

Smart Intelligent Computing and Applications: Proceedings of the Second International Conference on SCI 2018, Volume 1 (Smart Innovation, Systems and Technologies, 104)
Smart Intelligent Computing and Applications: Proceedings of the Second International Conference on SCI 2018, Volume 1 (Smart Innovation, Systems and Technologies, 104)

The proceedings covers advanced and multi-disciplinary research on design of smart computing and informatics. The theme of the book broadly focuses on various innovation paradigms in system knowledge, intelligence and sustainability that may be applied to provide realistic solution to varied problems in society, environment and...

Robust Statistics: Theory and Methods (Probability and Statistics)
Robust Statistics: Theory and Methods (Probability and Statistics)
Classical statistical techniques fail to cope well with deviations from a standard distribution. Robust statistical methods take into account these deviations while estimating the parameters of parametric models, thus increasing the accuracy of the inference. Research into robust methods is flourishing, with new methods being developed and...
Advances in Applied Artificial Intelligence (Computational Intelligence and Its Applications)
Advances in Applied Artificial Intelligence (Computational Intelligence and Its Applications)
Discussion on the nature of intelligence long pre-dated the development of the
electronic computer, but along with that development came a renewed burst of investigation
into what an artificial intelligence would be. There is still no consensus on how
to define artificial intelligence: Early definitions tended to discuss the type of
...
The Art of Computer Programming, Volume 4A: Combinatorial Algorithms, Part 1
The Art of Computer Programming, Volume 4A: Combinatorial Algorithms, Part 1

The TITLE of Volume 4 is Combinatorial Algorithms, and when I proposed it I was strongly inclined to add a subtitle: The Kind of Programming I Like Best. Mv editors have decided to tone down such exuberance, but the fact remains that programs with a combinatorial flavor have always been my favorites.

On the other hand I've...

Probability: With Applications and R
Probability: With Applications and R

An introduction to probability at the undergraduate level

Chance and randomness are encountered on a daily basis. Authored by a highly qualified professor in the field, Probability: With Applications and R delves into the theories and applications essential to obtaining a thorough understanding of probability.

...
Neural Network Programming with TensorFlow: Unleash the power of TensorFlow to train efficient neural networks
Neural Network Programming with TensorFlow: Unleash the power of TensorFlow to train efficient neural networks

Neural Networks and their implementation decoded with TensorFlow

About This Book

  • Develop a strong background in neural network programming from scratch, using the popular Tensorflow library.
  • Use Tensorflow to implement different kinds of neural networks – from simple...
New Directions in Statistical Signal Processing: From Systems to Brains (Neural Information Processing)
New Directions in Statistical Signal Processing: From Systems to Brains (Neural Information Processing)
Signal processing and neural computation have separately and significantly influenced many disciplines, but the cross-fertilization of the two fields has begun only recently. Research now shows that each has much to teach the other, as we see highly sophisticated kinds of signal processing and elaborate hierachical levels of neural computation...
2D Object Detection and Recognition: Models, Algorithms, and Networks
2D Object Detection and Recognition: Models, Algorithms, and Networks
This book is about detecting and recognizing 2D objects in gray-level images. Howare
models constructed? Howare they trained? What are the computational approaches to
efficient implementation on a computer? And finally, how can some of these computations
be implemented in the framework of parallel and biologically plausible neural...
Applications of Artificial Intelligence Techniques in Engineering: SIGMA 2018, Volume 1 (Advances in Intelligent Systems and Computing (698))
Applications of Artificial Intelligence Techniques in Engineering: SIGMA 2018, Volume 1 (Advances in Intelligent Systems and Computing (698))

The book is a collection of high-quality, peer-reviewed innovative research papers from the International Conference on Signals, Machines and Automation (SIGMA 2018) held at Netaji Subhas Institute of Technology (NSIT), Delhi, India. The conference offered researchers from academic and industry the opportunity to present their...

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