2009, ISBN: 3642018041

[EAN: 9783642018046], Neubuch, [SC: 9.02], [PU: Springer Berlin Heidelberg], BILDBEARBEITUNG; BILDVERARBEITUNG; GRAFIK (EDV) / BIOINFORMATIK; INFORMATIK BIOMEDIZIN; MEDIZIN DATA MINING (E… More...

[EAN: 9783642018046], Neubuch, [SC: 9.02], [PU: Springer Berlin Heidelberg], BILDBEARBEITUNG; BILDVERARBEITUNG; GRAFIK (EDV) / BIOINFORMATIK; INFORMATIK BIOMEDIZIN; MEDIZIN DATA MINING (EDV); INTELLIGENZ KÜNSTLICHE INTELLIGENZ; KI; - AI; EXTENSION; ALGORITHMS; BIOINFORMATICS; BIOLOGY; CLASSIFICATION; FEATURESELECTION; LEARNING; MACHINELEARNING; MODELING; NEURALGAS; OPTIMIZATION; PROBABILISTICMODELING; STATISTICALMECHANICS; VECTORQUANTIZATION; VISUALIZATION, Druck auf Anfrage Neuware - Printed after ordering - Similarity-based learning methods have a great potential as an intuitive and exible toolbox for mining, visualization,and inspection of largedata sets. They combine simple and human-understandable principles, such as distance-based classi cation, prototypes, or Hebbian learning, with a large variety of di erent, problem-adapted design choices, such as a data-optimum topology, similarity measure, or learning mode. In medicine, biology, and medical bioinformatics, more and more data arise from clinical measurements such as EEG or fMRI studies for monitoring brain activity, mass spectrometry data for the detection of proteins, peptides and composites, or microarray pro les for the analysis of gene expressions. Typically, data are high-dimensional, noisy, and very hard to inspect using classic (e. g. , symbolic or linear) methods. At the same time, new technologies ranging from the possibility of a very high resolution of spectra to high-throughput screening for microarray data are rapidly developing and carry thepromiseofane cient,cheap,andautomaticgatheringoftonsofhigh-quality data with large information potential. Thus, there is a need for appropriate - chine learning methods which help to automatically extract and interpret the relevant parts of this information and which, eventually, help to enable und- standingofbiologicalsystems,reliablediagnosisoffaults,andtherapyofdiseases such as cancer based on this information. Moreover, these application scenarios pose fundamental and qualitatively new challenges to the learning systems - cause of the speci cs of the data and learning tasks. Since these characteristics are particularly pronounced within the medical domain, but not limited to it and of principled interest, this research topic opens the way toward important new directions of algorithmic design and accompanying theory., Books<

ISBN: 9783642018046

Similarity-based learning methods have a great potential as an intuitive and flexible toolbox for mining, visualization,and inspection of largedata sets. They combine simple and human-und… More...

Similarity-based learning methods have a great potential as an intuitive and flexible toolbox for mining, visualization,and inspection of largedata sets. They combine simple and human-understandable principles, such as distance-based classification, prototypes, or Hebbian learning, with a large variety of different, problem-adapted design choices, such as a data-optimum topology, similarity measure, or learning mode. In medicine, biology, and medical bioinformatics, more and more data arise from clinical measurements such as EEG or fMRI studies for monitoring brain activity, mass spectrometry data for the detection of proteins, peptides and composites, or microarray profiles for the analysis of gene expressions. Typically, data are high-dimensional, noisy, and very hard to inspect using classic (e. g. , symbolic or linear) methods. At the same time, new technologies ranging from the possibility of a very high resolution of spectra to high-throughput screening for microarray data are rapidly developing and carry the promise of an efficient, cheap, and automatic gathering of tons of high-quality data with large information potential. Thus, there is a need for appropriate - chine learning methods which help to automatically extract and interpret the relevant parts of this information and which, eventually, help to enable und- standing of biological systems, reliable diagnosis of faults, and therapy of diseases such as cancer based on this information. Moreover, these application scenarios pose fundamental and qualitatively new challenges to the learning systems - cause of the specifics of the data and learning tasks. Since these characteristics are particularly pronounced within the medical domain, but not limited to it and of principled interest, this research topic opens the way toward important new directions of algorithmic design and accompanying theory. New Textbooks>Trade Paperback>Medicine>Medical Ref>Spec Procedure, Springer Berlin Heidelberg Core >1 >T<

2010, ISBN: 9783642018046

Springer Berlin Heidelberg, Taschenbuch, Auflage: 2009, 216 Seiten, Publiziert: 2010-06-02T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: biography, 0.83 kg, Medizin, Kategorien, Bücher,… More...

Springer Berlin Heidelberg, Taschenbuch, Auflage: 2009, 216 Seiten, Publiziert: 2010-06-02T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: biography, 0.83 kg, Medizin, Kategorien, Bücher, Datenbanken, Computer & Internet, Digitale Bildbearbeitung, Grafik & Multimedia, Informatik, IT-Ausbildung & -Berufe, Künstliche Intelligenz, Fachbücher, Allgemein, Biologie, Biowissenschaften, Naturwissenschaften & Technik, Fremdsprachige Bücher, Featured Categories, Englische Bücher, 7c9a6c79-19ea-4dea-90da-d7d47042d341_2301, 7c9a6c79-19ea-4dea-90da-d7d47042d341_0, Arborist Merchandising Root, acc906d0-2585-4921-a56f-3ff277850936_4901, acc906d0-2585-4921-a56f-3ff277850936_0, Special Features Stores, Taschenbücher, acc906d0-2585-4921-a56f-3ff277850936_4201, Format: Illustriert, Springer Berlin Heidelberg, 2010<

2010, ISBN: 9783642018046

Springer Berlin Heidelberg, Taschenbuch, Auflage: 2009, 216 Seiten, Publiziert: 2010-06-02T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: biography, 0.83 kg, Medizin, Kategorien, Bücher,… More...

Springer Berlin Heidelberg, Taschenbuch, Auflage: 2009, 216 Seiten, Publiziert: 2010-06-02T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: biography, 0.83 kg, Medizin, Kategorien, Bücher, Datenbanken, Computer & Internet, Digitale Bildbearbeitung, Grafik & Multimedia, Informatik, IT-Ausbildung & -Berufe, Künstliche Intelligenz, Fachbücher, Allgemein, Biologie, Biowissenschaften, Naturwissenschaften & Technik, Fremdsprachige Bücher, Featured Categories, Englische Bücher, 7c9a6c79-19ea-4dea-90da-d7d47042d341_2301, 7c9a6c79-19ea-4dea-90da-d7d47042d341_0, Arborist Merchandising Root, acc906d0-2585-4921-a56f-3ff277850936_4901, acc906d0-2585-4921-a56f-3ff277850936_0, Special Features Stores, Taschenbücher, acc906d0-2585-4921-a56f-3ff277850936_4201, Format: Illustriert, Springer Berlin Heidelberg, 2010<