The Pretty Colouring Book
| Author | : Jessie Eckel |
| Publisher | : Buster Books |
| Total Pages | : 64 |
| Release | : 2021-09-02 |
| Genre | : |
| ISBN | : 9781780557618 |
Brockhausen Edition Coloring Book Vol 2 Creativity
Download Brockhausen Edition Coloring Book Vol 2 Creativity full books in PDF, epub, and Kindle. Read online free Brockhausen Edition Coloring Book Vol 2 Creativity ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
BROCKHAUSEN Edition Coloring Book Vol. 2 - Creativity
| Author | : Dortje Golldack |
| Publisher | : |
| Total Pages | : 24 |
| Release | : 2018-06-03 |
| Genre | : |
| ISBN | : 9781720300144 |
BROCKHAUSEN Edition Coloring Book Volume 2. Creativity: Exotic flowers in the desert. Coloring book. In this coloring book you will find beautiful exotic flowers and cacti from the deserts of Central America. The plants can be painted in the most beautiful colors. This beautiful book promises creative and relaxing coloring fun.
Creativity
| Author | : Dortje Golldack |
| Publisher | : Independently Published |
| Total Pages | : 0 |
| Release | : 2024-06-11 |
| Genre | : |
| ISBN | : |
BROCKHAUSEN Coloring Book Vol. 2: Creativity: Orchids. Coloring book for adults. Scenes of orchids to color in creatively. Including: Cattleya orchids from South America. Great fun and perfect for coloring.
Genetic Algorithms and Genetic Programming
| Author | : Michael Affenzeller |
| Publisher | : CRC Press |
| Total Pages | : 395 |
| Release | : 2009-04-09 |
| Genre | : Computers |
| ISBN | : 1420011324 |
Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications discusses algorithmic developments in the context of genetic algorithms (GAs) and genetic programming (GP). It applies the algorithms to significant combinatorial optimization problems and describes structure identification using HeuristicLab as a platform for al
Practical Aspects of Knowledge Management
| Author | : Dimitris Karagiannis |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 533 |
| Release | : 2004-12-01 |
| Genre | : Computers |
| ISBN | : 3540240888 |
This book contains the papers presented at the 5th International Conference on Pr- tical Aspects of Knowledge Management organized by the Department of Knowledge Management, Institute of Computer Science and Business Informatics, University of Vienna. The event took place on December 02–03, 2004 in Vienna. The PAKM conference series offers a communication forum and meeting ground for practitioners and researchers engaged in developing and deploying advanced bu- ness solutions for the management of knowledge and intellectual capital. Contributions pursuing integrated approaches which consider organizational, technological and c- tural issues of knowledge management have been elected for presentation. PAKM is a forum for people to share their views, to exchange ideas, to develop new insights, and to envision completely new kinds of solutions for knowledge management problems. The accepted papers are of high quality and are not too specialized so that the main issues can be understood by someone outside the respective ?eld. This is crucial for an interdisciplinary exchange of ideas. Like its predecessors, PAKM 2004 featured two invited talks. It is a real joy seeing the visibility of the conferenceincrease and noting that kno- edge management researchers and practitioners from all over the world submitted - pers. This year, 163 papers and case studies were submitted, from which 48 were - cepted.
Multi-Objective Machine Learning
| Author | : Yaochu Jin |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 657 |
| Release | : 2007-06-10 |
| Genre | : Technology & Engineering |
| ISBN | : 3540330194 |
Recently, increasing interest has been shown in applying the concept of Pareto-optimality to machine learning, particularly inspired by the successful developments in evolutionary multi-objective optimization. It has been shown that the multi-objective approach to machine learning is particularly successful to improve the performance of the traditional single objective machine learning methods, to generate highly diverse multiple Pareto-optimal models for constructing ensembles models and, and to achieve a desired trade-off between accuracy and interpretability of neural networks or fuzzy systems. This monograph presents a selected collection of research work on multi-objective approach to machine learning, including multi-objective feature selection, multi-objective model selection in training multi-layer perceptrons, radial-basis-function networks, support vector machines, decision trees, and intelligent systems.
Glycosciences
| Author | : Hans-Joachim Gabius |
| Publisher | : John Wiley & Sons |
| Total Pages | : 663 |
| Release | : 2008-09-26 |
| Genre | : Science |
| ISBN | : 3527614729 |
A comprehensive survey of the topic, ranging from basic molecular research to clinical applications. Critical reviews by leading experts in each field summarize the state of knowledge and discuss the anticipated benefits of novel approaches and strategies. These include the impact of modern analysis techniques on glycobiology, the use of synthetic neoglycoproteins, or the clinical consequences of new insights into the physiological role of lectins and glycoconjugates in pathology, oncology, immunity, neuroscience and reproduction medicine. Throughout, the aim is to separate realistic applications from mere hopes.
The Art of Carbohydrate Analysis
| Author | : Gerrit J. Gerwig |
| Publisher | : Springer Nature |
| Total Pages | : 362 |
| Release | : 2021-10-23 |
| Genre | : Medical |
| ISBN | : 303077791X |
The growing importance of glycobiology and carbohydrate chemistry in modern biotechnology and the pharmaceutical industry makes accurate carbohydrate analysis indispensable. This book provides the principles and protocols of various fundamental carbohydrate analysis methods. Choice of method is entirely dependent upon the type of material being investigated (biological samples, food products, etc.), and the level of structural detail required, i.e. sugar content, compositional analysis, linkages between the sugar components, or the total chemical structure of a given molecule. Full structural characterization of carbohydrate chains requires significant time, resources, and skill in several methods of analysis; no single technique can address all glycan analysis needs. This book summarizes several existing analytical techniques (both chemical and physical) in an introductory volume designed for the non-expert researcher or novice scientist. While background in carbohydrate chemistry is assumed, all information necessary to understanding the described techniques is addressed in the text.
Foundations and Novel Approaches in Data Mining
| Author | : Tsau Young Lin |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 398 |
| Release | : 2005-11-03 |
| Genre | : Mathematics |
| ISBN | : 9783540283157 |
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 practical issues of data-mining for real-world problems and often concentrate on issues that are of no significance to the practitioners. In this volume, we hope to remedy problems by (1) presenting a theoretical foundation of data-mining, and (2) providing important new directions for data-mining research. A set of well respected data mining theoreticians were invited to present their views on the fundamental science of data mining. We have also called on researchers with practical data mining experiences to present new important data-mining topics.
Learning to Play
| Author | : Aske Plaat |
| Publisher | : Springer Nature |
| Total Pages | : 330 |
| Release | : 2020-12-23 |
| Genre | : Computers |
| ISBN | : 3030592383 |
In this textbook the author takes as inspiration recent breakthroughs in game playing to explain how and why deep reinforcement learning works. In particular he shows why two-person games of tactics and strategy fascinate scientists, programmers, and game enthusiasts and unite them in a common goal: to create artificial intelligence (AI). After an introduction to the core concepts, environment, and communities of intelligence and games, the book is organized into chapters on reinforcement learning, heuristic planning, adaptive sampling, function approximation, and self-play. The author takes a hands-on approach throughout, with Python code examples and exercises that help the reader understand how AI learns to play. He also supports the main text with detailed pointers to online machine learning frameworks, technical details for AlphaGo, notes on how to play and program Go and chess, and a comprehensive bibliography. The content is class-tested and suitable for advanced undergraduate and graduate courses on artificial intelligence and games. It's also appropriate for self-study by professionals engaged with applications of machine learning and with games development. Finally it's valuable for any reader engaged with the philosophical implications of artificial and general intelligence, games represent a modern Turing test of the power and limitations of AI.
