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"From Natural to Artificial Intelligence: Algorithms and Applications" ed. by Ricardo Lopez-Ruiz
ITExLi | 2018 | ISBN: 1789847036 9781789847031 1789847028 9781789847024 | 197 pages | PDF | 17 MB
This book brings together researchers working on areas related to artificial intelligence (AI) such as speech and face recognition, representation of learning and acoustic scenarios, fuzzy inference and data exploration, cellular automata applications with a special interest in the tools and algorithms that can be applied in these different branches of the AI discipline. The book provides a new reference to an audience interested in the development of this field.
Artificial intelligence (AI) is a field experiencing constant growth and change, with a long history. The challenge to reproduce human behavior in machines requires the interaction of many fields, from engineering to mathematics, from neurology to biology, from computer science to robotics, from web search to social networks, from machine learning to game theory, etc. Numerous applications and possibilities of AI are already a reality but other ones are still needed to reduce the human limitations and to expand the human capability to limits beyond our imagination.
Contents
1 Some Commonly Used Speech Feature Extraction Algorithms
2 Convolutional Neural Networks for Raw Speech Recognition
3 Evaluation between Virtual Acoustic Model and Real Acoustic Scenarios for Urban Representation
4 Formative E-Assessment of Schema Acquisition in the Human Lexicon as a Tool in Adaptive Online Instruction
5 Local Patterns for Face Recognition
6 Face Recognition Based on Texture Descriptors
7 Learning Algorithms for Fuzzy Inference Systems Using Vector Quantization
8 Query Morphing: A Proximity-Based Approach for Data Exploration
9 Cellular Automata and Randomization: A Structural Overview
10 Hard, firm, soft… Etherealware: Computing by Temporal Order of Clocking
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