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Machine Learning and Robot Perception (Studies in Computational Intelligence)
Machine Learning and Robot Perception (Studies in Computational Intelligence)
This book presents some of the most recent research results in the area of machine learning and robot perception. The book contains eight chapters.

Relevant progress has been done, within the Robotics field, in mechanical systems, actuators, control and planning. This fact, allows a wide application of industrial robots, where
...
Emerging Trends in Mechanical Engineering: Select Proceedings of ICETME 2018 (Lecture Notes in Mechanical Engineering)
Emerging Trends in Mechanical Engineering: Select Proceedings of ICETME 2018 (Lecture Notes in Mechanical Engineering)

This book comprises select proceedings of the International Conference on Emerging Trends in Mechanical Engineering (ICETME 2018). The book covers various topics of mechanical engineering like computational fluid dynamics, heat transfer, machine dynamics, tribology, and composite materials. In addition, relevant studies in the allied...

Foundations and Novel Approaches in Data Mining (Studies in Computational Intelligence)
Foundations and Novel Approaches in Data Mining (Studies in Computational Intelligence)
Data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor" syndrome. Currently, application oriented engineers are only concerned with their immediate problems, which results in an ad hoc method of problem solving. Researchers, on the other hand, lack an understanding of the...
A Computational Model of Natural Language Communication: Interpretation, Inference, and Production in Database Semantics
A Computational Model of Natural Language Communication: Interpretation, Inference, and Production in Database Semantics
Everyday life would be easier if we could simply talk with machines instead of having to program them. Before such talking robots can be built, however, there must be a theory of how communicating with natural language works. This requires not only a grammatical analysis of the language signs, but also a model of the cognitive agent, with...
Natural Computing: 4th International Workshop on Natural Computing
Natural Computing: 4th International Workshop on Natural Computing

The complex behavior of systems in nature is rooted in intricate mechanisms of interaction that often supersede human-made systems in terms of reliability, power efficiency, and computational capacity. Researchers have begun to realize that natural systems are a great source of inspiration for novel algorithms in computation and communication...

Explorations in Computing: An Introduction to Computer Science (Chapman & Hall/CRC Textbooks in Computing)
Explorations in Computing: An Introduction to Computer Science (Chapman & Hall/CRC Textbooks in Computing)

Based on the author’s introductory course at the University of Oregon, Explorations in Computing: An Introduction to Computer Science focuses on the fundamental idea of computation and offers insight into how computation is used to solve a variety of interesting and important real-world problems. Taking an...

Python Scripting for Computational Science (Texts in Computational Science and Engineering)
Python Scripting for Computational Science (Texts in Computational Science and Engineering)
The goal of this book is to teach computational scientists and engineers how to develop tailored, flexible, and efficient working environments built from small programs (scripts) written in the easy-to-learn, very high-level language Python. The focus is on examples and applications of relevance to computational science: gluing existing...
Supervised and Unsupervised Ensemble Methods and their Applications (Studies in Computational Intelligence)
Supervised and Unsupervised Ensemble Methods and their Applications (Studies in Computational Intelligence)
The rapidly growing amount of data, available from different technologies in the field of bio-sciences, high-energy physics, economy, climate analysis, and in several other scientific disciplines, requires a new generation of machine learning and statistical methods to deal with their complexity and heterogeneity. As data collections becomes...
Digital Dice: Computational Solutions to Practical Probability Problems
Digital Dice: Computational Solutions to Practical Probability Problems

"Paul Nahin's Digital Dice is a marvelous book, one that is even better than his Duelling Idiots. Nahin presents twenty-one great probability problems, from George Gamow's famous elevator paradox (as corrected by Donald Knuth) to a bewildering puzzle involving two rolls of toilet paper, and he solves them all with the aid...

Computational Chemistry: Reviews of Current Trends (Computational Chemistry: Reviews of Current Trends, Vol 6)
Computational Chemistry: Reviews of Current Trends (Computational Chemistry: Reviews of Current Trends, Vol 6)

There are strong indications that, in the 21st century, computational chemistry will be a prime research tool not only for the basic sciences but also for the life and materials sciences. Recent developments in nanotechnology allow us to detect a layer of single atoms. Researchers are able not only to image but also to manipulate molecules...

Fundamentals of the Fuzzy Logic-Based Generalized Theory of Decisions (Studies in Fuzziness and Soft Computing)
Fundamentals of the Fuzzy Logic-Based Generalized Theory of Decisions (Studies in Fuzziness and Soft Computing)

Every day decision making and decision making in complex human-centric systems are characterized by imperfect decision-relevant information. Main drawback of the existing decision theories is namely incapability to deal with imperfect information and modeling vague preferences. Actually, a paradigm of non-numerical probabilities in decision...

Computational Methods for Three-Dimensional Microscopy Reconstruction (Applied and Numerical Harmonic Analysis)
Computational Methods for Three-Dimensional Microscopy Reconstruction (Applied and Numerical Harmonic Analysis)

Approaches to the recovery of three-dimensional information on a biological object, which are often formulated or implemented initially in an intuitive way, are concisely described here based on physical models of the object and the image-formation process. Both three-dimensional electron microscopy and X-ray tomography can be captured in the...

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