Brain Informatics: International Conference, BI 2009, Beijing, China, October 22-24, Proceedings (Lecture Notes in Computer Science, Band 5819) - Taschenbuch

EAN (ISBN-13): 9783642049538
ISBN (ISBN-10): 3642049532
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2009
Herausgeber: Springer Berlin
235 Seiten
Gewicht: 0,398 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 2007-03-14T06:19:44+01:00 (Vienna)
Detailseite zuletzt geändert am 2023-08-16T09:34:55+02:00 (Vienna)
ISBN/EAN: 9783642049538

ISBN - alternative Schreibweisen:
3-642-04953-2, 978-3-642-04953-8
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: chen, zhong, kunc
Titel des Buches: october, 2009, proceedings the second international conference, brain that changes itself, china beijing, beijing von

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Daten vom Verlag:

Autor/in: Ning Zhong; Kuncheng Li; Shengfu Lu; Lin Chen
Titel: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Brain Informatics - International Conference, BI 2009, Beijing, China, October 22-24, Proceedings
Verlag: Springer; Springer Berlin
237 Seiten
Erscheinungsjahr: 2009-10-05
Berlin; Heidelberg; DE
Gedruckt / Hergestellt in Deutschland.
Gewicht: 0,391 kg
Sprache: Englisch
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
POD
XIII, 237 p.

BC; Artificial Intelligence; Hardcover, Softcover / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Informatik; Bayesian methods; Eye-Tracking; HCI; approximation; classifier systems; cognition; collective intelligence; data mining; decision making; enterprise information system; granular computing; intelligence; learning; machine learning; semantic web; Life Sciences, general; Pattern Recognition; User Interfaces and Human Computer Interaction; Data Mining and Knowledge Discovery; Multimedia Information Systems; Artificial Intelligence; Life Sciences; Automated Pattern Recognition; User Interfaces and Human Computer Interaction; Data Mining and Knowledge Discovery; Multimedia Information Systems; Biowissenschaften, allgemein; Mustererkennung; Mensch-Computer-Interaktion; Data Mining; Wissensbasierte Systeme, Expertensysteme; Grafische und digitale Media-Anwendungen; EA

Keynote Talks.- Using Neural Imaging to Inform the Instruction of Mathematics.- Distributed Human-Machine Systems: Progress and Prospects.- Large Scale Reasoning on the Semantic Web: What to Do When Success Is Becoming a Problem.- How Midazolam Can Help Us Understand Human Memory: 3 Illustrations and a Proposal for a New Methodology.- Research on Brain-Like Computer.- A Framework for Machine Learning with Ambiguous Objects.- Special Session on Information Processing Meets Brain Sciences.- Data Compression and Data Selection in Human Vision.- Do Brain Networks Correlate with Intelligence?.- How Were Intelligence and Language Created in Human Brain.- Affective Learning with an EEG Approach.- Some Web Intelligence Oriented Brain Informatics Studies.- Thinking and Perception-centric Investigations of Human Information Processing Systems.- Modelling the Reciprocal Interaction between Believing and Feeling from a Neurological Perspective.- Information Hypothesis: On Human Information Capability Study.- Correlated Size Variations Measured in Human Visual Cortex V1/V2/V3 with Functional MRI.- Effects of Attention on Dynamic Emotional Expressions Processing.- Simulating Human Heuristic Problem Solving: A Study by Combining ACT-R and fMRI Brain Image.- EEG/ERP Meets ACT-R: A Case Study for Investigating Human Computation Mechanism.- Evaluation of Probabilities and Brain Activity - An EEG-Study.- Human Factors Affecting Decision in Virtual Operator Reasoning.- The Effect of Information Forms and Floating Advertisements for Visual Search on Web Pages: An Eye-Tracking Study.- Figural Effects in Syllogistic Reasoning with Evaluation Paradigm: An Eye-Movement Study.- Structured Prior Knowledge and Granular Structures.- Multisensory Interaction of Audiovisual Stimuli on the Central and Peripheral Spatial Locations: A Behavioral Study.- A Functional Model of Limbic System of Brain.- Information Technologies for the Management and Use of Brain Data.- Data Explosion, Data Nature and Dataology.- Reading What Machines “Think”.- Using SVM to Predict High-Level Cognition from fMRI Data: A Case Study of 4*4 Sudoku Solving.- Data-Brain Modeling for Systematic Brain Informatics.- Cognition-inspired Applications.- Combine the Objective Features with the Subjective Feelings in Personal Multi-alternative Decision Making Modeling.- Automatic and Semi-automatic Approaches for Selecting Prominent Spatial Filters of CSP in BCI Applications.- Boosting Concept Discovery in Collective Intelligences.- Segmentation of Heart Image Sequences Based on Human Way of Recognition.