Classification Pattern Recognition and Reduction of Dimensionality
Title | Classification Pattern Recognition and Reduction of Dimensionality PDF eBook |
Author | Paruchuri Rama Krishnaiah |
Publisher | |
Pages | 0 |
Release | 2005 |
Genre | Cluster analysis |
ISBN |
Multi-Label Dimensionality Reduction
Title | Multi-Label Dimensionality Reduction PDF eBook |
Author | Liang Sun |
Publisher | CRC Press |
Pages | 206 |
Release | 2016-04-19 |
Genre | Business & Economics |
ISBN | 1439806160 |
Similar to other data mining and machine learning tasks, multi-label learning suffers from dimensionality. An effective way to mitigate this problem is through dimensionality reduction, which extracts a small number of features by removing irrelevant, redundant, and noisy information. The data mining and machine learning literature currently lacks
Data Analytics in Bioinformatics
Title | Data Analytics in Bioinformatics PDF eBook |
Author | Rabinarayan Satpathy |
Publisher | John Wiley & Sons |
Pages | 433 |
Release | 2021-01-20 |
Genre | Computers |
ISBN | 111978560X |
Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel machine learning computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. Machine learning techniques such as Markov models, support vector machines, neural networks, and graphical models have been successful in analyzing life science data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. Machine Learning in Bioinformatics compiles recent approaches in machine learning methods and their applications in addressing contemporary problems in bioinformatics approximating classification and prediction of disease, feature selection, dimensionality reduction, gene selection and classification of microarray data and many more.
Machine Learning Techniques for Multimedia
Title | Machine Learning Techniques for Multimedia PDF eBook |
Author | Matthieu Cord |
Publisher | Springer Science & Business Media |
Pages | 297 |
Release | 2008-02-07 |
Genre | Computers |
ISBN | 3540751718 |
Processing multimedia content has emerged as a key area for the application of machine learning techniques, where the objectives are to provide insight into the domain from which the data is drawn, and to organize that data and improve the performance of the processes manipulating it. Arising from the EU MUSCLE network, this multidisciplinary book provides a comprehensive coverage of the most important machine learning techniques used and their application in this domain.
Advances in Neural Networks - ISNN 2007
Title | Advances in Neural Networks - ISNN 2007 PDF eBook |
Author | Derong Liu |
Publisher | Springer |
Pages | 1346 |
Release | 2007-07-14 |
Genre | Computers |
ISBN | 3540723935 |
This book is part of a three volume set that constitutes the refereed proceedings of the 4th International Symposium on Neural Networks, ISNN 2007, held in Nanjing, China in June 2007. Coverage includes neural networks for control applications, robotics, data mining and feature extraction, chaos and synchronization, support vector machines, fault diagnosis/detection, image/video processing, and applications of neural networks.
Knowledge-Based Intelligent Information and Engineering Systems
Title | Knowledge-Based Intelligent Information and Engineering Systems PDF eBook |
Author | Ignac Lovrek |
Publisher | Springer Science & Business Media |
Pages | 1079 |
Release | 2008-08-18 |
Genre | Business & Economics |
ISBN | 3540855645 |
Annotation The three volume set LNAI 5177, LNAI 5178, and LNAI 5179, constitutes the refereed proceedings of the 12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008, held in Zagreb, Croatia, in September 2008. The 316 revised papers presented were carefully reviewed and selected. The papers present a wealth of original research results from the field of intelligent information processing in the broadest sense; topics covered in the first volume are artificial neural networks and connectionists systems; fuzzy and neuro-fuzzy systems; evolutionary computation; machine learning and classical AI; agent systems; knowledge based and expert systems; intelligent vision and image processing; knowledge management, ontologies, and data mining; Web intelligence, text and multimedia mining and retrieval; and intelligent robotics and control.
Pattern Recognition
Title | Pattern Recognition PDF eBook |
Author | Sergios Theodoridis |
Publisher | Elsevier |
Pages | 705 |
Release | 2003-05-15 |
Genre | Technology & Engineering |
ISBN | 008051362X |
Pattern recognition is a scientific discipline that is becoming increasingly important in the age of automation and information handling and retrieval. Patter Recognition, 2e covers the entire spectrum of pattern recognition applications, from image analysis to speech recognition and communications. This book presents cutting-edge material on neural networks, - a set of linked microprocessors that can form associations and uses pattern recognition to "learn" -and enhances student motivation by approaching pattern recognition from the designer's point of view. A direct result of more than 10 years of teaching experience, the text was developed by the authors through use in their own classrooms.*Approaches pattern recognition from the designer's point of view*New edition highlights latest developments in this growing field, including independent components and support vector machines, not available elsewhere*Supplemented by computer examples selected from applications of interest