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...
Recently, increasing interest has been shown in applying the concept of Pareto-optimality to machine learning, particularly inspired by the success...
For the past decade or so, Computational Intelligence (CI) has been an - tremely hot topic amongst researchers working in the ?elds of biomedicine and bioinformatics. There are many successful applications of CI in such areas ascomputationalgenomics, predictionofgeneexpression, proteinstructure, and protein-protein interactions, modeling of evolution, or neuronal systems mod- ing and analysis. However, there still are many problems in biomedicine and bioinformatics that are in desperate need of advanced and e?cient compu- tional methodologies to deal with tremendous amounts of data so...
For the past decade or so, Computational Intelligence (CI) has been an - tremely hot topic amongst researchers working in the ?elds of biomedicine and...
A sharp increase in the computing power of modern computers has triggered the development of powerful algorithms that can analyze complex patterns in large amounts of data within a short time period. Consequently, it has become possible to apply pattern recognition techniques to new tasks. The main goal of this book is to cover some of the latest application domains of pattern recognition while presenting novel techniques that have been developed or customized in those domains.
A sharp increase in the computing power of modern computers has triggered the development of powerful algorithms that can analyze complex patterns ...
This book offers extended contributions from the workshop New Horizons in Evolutionary Design of Robots that brought together researchers from Computer Science and Robotics during the International Conference on Intelligent Robots and Systems (IROS-2009).
This book offers extended contributions from the workshop New Horizons in Evolutionary Design of Robots that brought together researchers from Compute...
This book is a continuation of our previous volumes on Innovations in Defence Support Systems. This book includes a sample of recent advances in intelligent monitoring. The contributions include:
. Data fusion in modern surveillance
. Distributed intelligent surveillance systems modeling for performance evaluation
. Incremental learning on trajectory clustering
. Pedestrian speed profiles from video sequence
. System-wide tracking of individuals
. A scalable approach based on normality components for intelligent surveillance
....
This book is a continuation of our previous volumes on Innovations in Defence Support Systems. This book includes a sample of recent advances in in...
Observational calculi were introduced in the 1960's as a tool of logic of discovery. Formulas of observational calculi correspond to assertions on analysed data. Truthfulness of suitable assertions can lead to acceptance of new scientific hypotheses. The general goal was to automate the process of discovery of scientific knowledge using mathematical logic and statistics. The GUHA method for producing true formulas of observational calculi relevant to the given problem of scientific discovery was developed. Theoretically interesting and practically important results on observational calculi...
Observational calculi were introduced in the 1960's as a tool of logic of discovery. Formulas of observational calculi correspond to assertions on ana...
This volume contains recent advances in computational intelligence methods for modeling, optimization and prediction and covers a large number of applications. It presents new computational intelligence theory and methods for modeling and prediction.
This volume contains recent advances in computational intelligence methods for modeling, optimization and prediction and covers a large number of appl...
Compared with data from general application domains, modern biological data has many unique characteristics. Biological data are often characterized as having large volumes, complex structures, high dimensionality, evolving biological concepts, and insufficient data modelling practices. Over the past several years, bioinformatics has become an all-encompassing term for everything relating to both computer science and biology. The goal of this book is to cover data and applications identifying new issues and directions for future research in biomedical domain. The book will become a useful...
Compared with data from general application domains, modern biological data has many unique characteristics. Biological data are often characterized a...
In reinforcement learning (RL) problems, learning agents sequentially execute actions with the goal of maximizing a reward signal. This book provides an introduction to the RL transfer problem and discusses methods which demonstrate the promise of this exciting area of research.
In reinforcement learning (RL) problems, learning agents sequentially execute actions with the goal of maximizing a reward signal. This book provides ...
Throughout the evolutionary history of this planet, biological systems have been able to adapt, survive and ?ourish despite the turmoils and upheavals of the environment. This ability has long fascinated and inspired people to emulate and adapt natural processes for application in the arti?cial world of human endeavours. The realm of optimisation problems is no exception. In fact, in recent years biological systems have been the inspiration of the majority of meta-heuristic search algorithms including, but not limited to, genetic algorithms, particle swarmoptimisation, ant colony optimisation...
Throughout the evolutionary history of this planet, biological systems have been able to adapt, survive and ?ourish despite the turmoils and upheavals...
