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Advances in Minimum Description Length: Theory and Applications (Neural Information Processing)
Advances in Minimum Description Length: Theory and Applications (Neural Information Processing)
The process of inductive inference—to infer general laws and principles from particular instances—is the basis of statistical modeling, pattern recognition, and machine learning. The Minimum Descriptive Length (MDL) principle, a powerful method of inductive inference, holds that the best explanation, given a limited set of observed...
Text Mining: Applications and Theory
Text Mining: Applications and Theory

Text Mining: Applications and Theory presents the state-of-the-art algorithms for text mining from both the academic and industrial perspectives.  The contributors span several countries and scientific domains: universities, industrial corporations, and government laboratories, and demonstrate the use of techniques from machine...

Bioinformatics and Biomarker Discovery
Bioinformatics and Biomarker Discovery

This book is designed to introduce biologists, clinicians and computational researchers to fundamental data analysis principles, techniques and tools for supporting the discovery of biomarkers and the implementation of diagnostic/prognostic systems.

The focus of the book is on how fundamental statistical and data mining approaches...

The Engines of Hippocrates: From the Dawn of Medicine to Medical and Pharmaceutical Informatics
The Engines of Hippocrates: From the Dawn of Medicine to Medical and Pharmaceutical Informatics

A unique, integrative look at information-based medicine

The convergence of medical science, biology, pharmacology, biomedical engineering, healthcare, and information technology is revolutionizing medical and scientific practice, and has broader social implications still being understood. The Engines of Hippocrates provides a...

Computational Biology: Issues and Applications in Oncology (Applied Bioinformatics and Biostatistics in Cancer Research)
Computational Biology: Issues and Applications in Oncology (Applied Bioinformatics and Biostatistics in Cancer Research)

This book will introduce contributions, both methodological and technical, that have been made and are currently in progress in the field of computational biology as a resource in cancer research and oncology. This volume will illustrate the tools used in this area through a wide range of timely applications in genetics, genomics, and biomedical...

Data Mining: Special Issue in Annals of Information Systems
Data Mining: Special Issue in Annals of Information Systems

Over the course of the last twenty years, research in data mining has seen a substantial increase in interest, attracting original contributions from various disciplines including computer science, statistics, operations research, and information systems. Data mining supports a wide range of applications, from medical decision making,...

Intelligent Systems and Technologies: Methods and Applications (Studies in Computational Intelligence)
Intelligent Systems and Technologies: Methods and Applications (Studies in Computational Intelligence)
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...
Cells and Robots: Modeling and Control of Large-Size Agent Populations (Springer Tracts in Advanced Robotics)
Cells and Robots: Modeling and Control of Large-Size Agent Populations (Springer Tracts in Advanced Robotics)
From the reviews:

"This interesting monograph is devoted to the study of multi-agent, populations of biological cells and robot teams. … The main objective of the approach is to provide solutions to the problem of how dynamics of an individual agent propagates to the population dynamics. … This original monograph has a wide...

Robust Intelligent Systems
Robust Intelligent Systems
Using artificial intelligence and robustness as a unifying theme, this book comments on the fundamental strategies found in nature (such as redundancy, granularity, adaptation, repair, self-healing, etc.), and how an understanding of these can be used to further research into general design principles for artificial intelligence in the context of a...
Digital Signal Processing Using MATLAB and Wavelets (Electrical Engineering)
Digital Signal Processing Using MATLAB and Wavelets (Electrical Engineering)
Although DSP has long been considered an EE topic, recent developments have also generated significant interest from the computer science community. DSP applications in the consumer market, such as bioinformatics, the MP3 audio format, and MPEG-based cable/satellite television have fueled a desire to understand this technology outside of hardware...
Grid Computing in Life Sciences: Proceedings of the 2nd International Life Science Grid Workshop, LSGRID 2005
Grid Computing in Life Sciences: Proceedings of the 2nd International Life Science Grid Workshop, LSGRID 2005
This is the second volume in the series of proceedings from the International Workshop on Life Science Grid. It represents the few, if not the only, dedicated proceedings volumes that gathers together the presentations of leaders in the emerging sub-discipline of grid computing for the life sciences. The volume covers the latest developments,...
Multimedia Forensics and Security
Multimedia Forensics and Security
As information technology is rapidly progressing, an enormous amount of media can be easily exchanged through Internet and other communication networks. Increasing amounts of digital image, video, and music have created numerous information security issues and is now taken as one of the top research and development agendas for researchers,...
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