This book contains extended versions of select papers from the International Conference on Intelligent Unmanned Systems, ICIUS 2007. It presents theories and applications that address the current and future challenges in the area of unmanned systems.
This book contains extended versions of select papers from the International Conference on Intelligent Unmanned Systems, ICIUS 2007. It presents th...
The book "Soft Computing Based Modeling in Intelligent Systems"contains the - tended works originally presented at the IEEE International Workshop SOFA 2005 and additional papers. SOFA, an acronym for SOFt computing and Applications, is an international wo- shop intended to advance the theory and applications of intelligent systems and soft computing. Lotfi Zadeh, the inventor of fuzzy logic, has suggested the term "Soft Computing." He created the Berkeley Initiative of Soft Computing (BISC) to connect researchers working in these new areas of AI. Professor Zadeh participated actively in our...
The book "Soft Computing Based Modeling in Intelligent Systems"contains the - tended works originally presented at the IEEE International Workshop SOF...
Uses three main notions in the search of improvements in various areas of computer graphics: Artificial Intelligence, Viewpoint Complexity and Human Intelligence.
Uses three main notions in the search of improvements in various areas of computer graphics: Artificial Intelligence, Viewpoint Complexity and Human I...
Computing techniques inspired by biological elements such as nervous systems, immune systems and genetics have been used in data mining. This book, one of a series on the foundations of Computational Intelligence, is focused on bio-inspired data mining.
Computing techniques inspired by biological elements such as nervous systems, immune systems and genetics have been used in data mining. This book, on...
The Group Method of Data Handling (GMDH) is a typical inductive modeling method that is built on principles of self-organization for modeling complex systems. This book clearly presents hybrids of some computational intelligence techniques and GMDH approach.
The Group Method of Data Handling (GMDH) is a typical inductive modeling method that is built on principles of self-organization for modeling compl...
Computational tools or solutions based on intelligent systems are being used effectively in data mining applications. This book, one of a series on the foundations of Computational Intelligence, is focused on applications of techniques for data mining.
Computational tools or solutions based on intelligent systems are being used effectively in data mining applications. This book, one of a series on th...
Global optimization is a branch of applied mathematics and numerical analysis that deals with the task of finding the absolutely best set of admissible conditions to satisfy certain criteria / objective function(s), formulated in mathematical terms. Global optimization includes nonlinear, stochastic and combinatorial programming, multiobjective programming, control, games, geometry, approximation, algorithms for parallel architectures and so on. Due to its wide usage and applications, it has gained the attention of researchers and practitioners from a plethora of scientific domains. Typical...
Global optimization is a branch of applied mathematics and numerical analysis that deals with the task of finding the absolutely best set of admissibl...
In reinforcement learning (RL) problems, learning agents sequentially execute actions with the goal of maximizing a reward signal. The RL framework has gained popularity with the development of algorithms capable of mastering increasingly complex problems, but learning difficult tasks is often slow or infeasible when RL agents begin with no prior knowledge. The key insight behind "transfer learning" is that generalization may occur not only within tasks, but also across tasks. While transfer has been studied in the psychological literature for many years, the RL community has only recently...
In reinforcement learning (RL) problems, learning agents sequentially execute actions with the goal of maximizing a reward signal. The RL framework ha...
Intelligent systems and technologies are increasing finding their ways in our daily lives. This book presents a sample of recent research results from key researchers. The contributions include: Introduction to intelligent systems; A Fuzzy Density Analysis of Subgroups by means of DNA Oligonucleotides; Evolution of Cooperating Classification Rules with an Archiving Strategy to Underpin Collaboration; Designing Agents with Dynamic Capability; Localized versus Locality Preserving Representation Methods in Face Recognition Tasks; Invariance Properties of Recurrent Neural Networks; Solving...
Intelligent systems and technologies are increasing finding their ways in our daily lives. This book presents a sample of recent research results f...
