Graphical models are of increasing importance in applied statistics, and in particular in data mining. Providing a self-contained introduction and overview to learning relational, probabilistic, and possibilistic networks from data, this second edition of Graphical Models is thoroughly updated to include the latest research in this burgeoning field, including a new chapter on visualization. The text provides graduate students, and researchers with all the necessary background material, including modelling under uncertainty, decomposition of distributions, graphical representation of...
Graphical models are of increasing importance in applied statistics, and in particular in data mining. Providing a self-contained introduction and ove...
Christian Borgelt Gil Gonzalez Rodriguez Wolfgang Trutschnig
The first International Conference on Soft Methods in Probability and Statistics (SMPS) was held in Warsaw in 2002. In the following years the conference took place in Oviedo (2004), in Bristol (2006) and in Toulouse (2008). This edited volume is a collection of papers presented at the SMPS 2010 conference held in Mieres and Oviedo.
The first International Conference on Soft Methods in Probability and Statistics (SMPS) was held in Warsaw in 2002. In the following years the confere...
Eines der spannendsten Themen im Bereich intelligenter Systeme - von namhaften Autoren geschrieben - zum Lernen und Nachschlagen. Das Buch führt in das Thema der Neuronalen Netze ein und weist darüber hinaus den Weg bis zum vollen Verständnis modernster Fuzzy-Systeme. Neuronale Netze sind ein wichtiges Werkzeug in den Bereichen der Datenanalyse und Mustererkennung. Ursprünglich durch das biologische Vorbild inspiriert, wurde eine Vielfalt neuronaler Netze für verschiedenste Anwendungen entwickelt. Ihre Kopplung mit Fuzzy-Systemen führt zu den sogenannten Neuro-Fuzzy-Systemen. Diese...
Eines der spannendsten Themen im Bereich intelligenter Systeme - von namhaften Autoren geschrieben - zum Lernen und Nachschlagen. Das Buch führt in d...
Christian Borgelt Maria Angeles Gi Joao M. Da Cost
Soft computing, as an engineering science, and statistics, as a classical branch of mathematics, emphasize different aspects of data analysis. Soft computing focuses on obtaining working solutions quickly, accepting approximations and unconventional approaches. Its strength lies in its flexibility to create models that suit the needs arising in applications. In addition, it emphasizes the need for intuitive and interpretable models, which are tolerant to imprecision and uncertainty. Statistics is more rigorous and focuses on establishing objective conclusions based on experimental data...
Soft computing, as an engineering science, and statistics, as a classical branch of mathematics, emphasize different aspects of data analysis. Soft...
Each passing year bears witness to the development of ever more powerful computers, increasingly fast and cheap storage media, and even higher bandwidth data connections. This makes it easy to believe that we can now - at least in principle - solve any problem we are faced with so long as we only have enough data. Yet this is not the case. Although large databases allow us to retrieve many different single pieces of information and to compute simple aggregations, general patterns and regularities often go undetected. Furthermore, it is exactly these patterns, regularities and trends that are...
Each passing year bears witness to the development of ever more powerful computers, increasingly fast and cheap storage media, and even higher bandwid...
Christian Borgelt Maria Angeles Gil Joao M. C. Sousa
Soft computing, as an engineering science, and statistics, as a classical branch of mathematics, emphasize different aspects of data analysis. Soft computing focuses on obtaining working solutions quickly, accepting approximations and unconventional approaches. Its strength lies in its flexibility to create models that suit the needs arising in applications. In addition, it emphasizes the need for intuitive and interpretable models, which are tolerant to imprecision and uncertainty. Statistics is more rigorous and focuses on establishing objective conclusions based on experimental data...
Soft computing, as an engineering science, and statistics, as a classical branch of mathematics, emphasize different aspects of data analysis. Soft...
Computational intelligence (CI) encompasses a range of nature-inspired methods that exhibit intelligent behavior in complex environments.
This clearly-structured, classroom-tested textbook/reference presents a methodical introduction to the field of CI. Providing an authoritative insight into all that is necessary for the successful application of CI methods, the book describes fundamental concepts and their practical implementations, and explains the theoretical background underpinning proposed solutions to common problems. Only a basic knowledge of mathematics is...
Computational intelligence (CI) encompasses a range of nature-inspired methods that exhibit intelligent behavior in complex environments.
Die Autoren behandeln umfassend zentrale Themen der Informatik von Kunstlichen Neuronalen Netzen, uber Evolutionare Algorithmen bis hin zu Fuzzy-Systemen und Bayes-Netzen. Denn: Der Anwendungsbereich "Computational Intelligence" erlangt durch viele erfolgreiche industrielle Produkte immer mehr an Bedeutung. Dieses Buch behandelt die zentralen Techniken dieses Gebiets und bettet sie in ein didaktisches Konzept ein, welches sich gezielt an Studierende und Lehrende der Informatik wendet. Fur die vorliegende 2. Auflage des Buches wurden alle Themenbereiche uberarbeitet, aktualisiert und zum...
Die Autoren behandeln umfassend zentrale Themen der Informatik von Kunstlichen Neuronalen Netzen, uber Evolutionare Algorithmen bis hin zu Fuzzy-Sy...
This textbook provides a clear and logical introduction to the field, covering the fundamental concepts, algorithms and practical implementations behind efforts to develop systems that exhibit intelligent behavior in complex environments. This enhanced second edition has been fully revised and expanded with new content on swarm intelligence, deep learning, fuzzy data analysis, and discrete decision graphs. Features: provides supplementary material at an associated website; contains numerous classroom-tested examples and definitions throughout the text; presents useful insights into all...
This textbook provides a clear and logical introduction to the field, covering the fundamental concepts, algorithms and practical implementations behi...
