Buch, Englisch, Band 7263, 266 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 429 g
International Workshop, MLINI 2011, Held at NIPS 2011, Sierra Nevada, Spain, December 16-17, 2011, Revised Selected and Invited Contributions
Buch, Englisch, Band 7263, 266 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 429 g
Reihe: Lecture Notes in Artificial Intelligence
ISBN: 978-3-642-34712-2
Verlag: Springer
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Klinische und Innere Medizin Neurologie, Klinische Neurowissenschaft
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Signalverarbeitung, Bildverarbeitung, Scanning
Weitere Infos & Material
A Comparative Study of Algorithms for Intra- and Inter-subjects fMRI Decoding.- Beyond Brain Reading: Randomized Sparsity and Clustering to Simultaneously Predict and Identify.- Searchlight Based Feature Extraction.- Looking Outside the Searchlight.- Population Codes Representing Musical Timbre for High-Level fMRI Categorization of Music Genres.- Induction in Neuroscience with Classification: Issues and Solutions.- A New Feature Selection Method Based on Stability Theory – Exploring Parameters Space to Evaluate Classification Accuracy in Neuroimaging Data.- Identification of OCD-Relevant Brain Areas through Multivariate Feature Selection.- Deformation-Invariant Sparse Coding for Modeling Spatial Variability of Functional Patterns in the Brain.- Decoding Complex Cognitive States Online by Manifold Regularization in Real-Time fMRI.- Modality Neutral Techniques for Brain Image Understanding.- How Does the Brain Represent Visual Scenes? A Neuromagnetic Scene Categorization Study.- Finding Consistencies in MEG Responses to Repeated Natural Speech.- Categorized EEG Neurofeedback Performance Unveils Simultaneous fMRI Deep Brain Activation.- Predicting Clinically Definite Multiple Sclerosis from Onset Using SVM.- MKL-Based Sample Enrichment and Customized Outcomes Enable Smaller AD Clinical Trials.- Pairwise Analysis for Longitudinal fMRI Studies.- Non-separable Spatiotemporal Brain Hemodynamics Contain Neural Information.- The Dynamic Beamformer.- Covert Attention as a Paradigm for Subject-Independent Brain-Computer Interfacing.- The Neural Dynamics of Visual Processing in Monkey Extrastriate Cortex: A Comparison between Univariate and Multivariate Techniques.- Statistical Learning for Resting-State fMRI: Successes and Challenges.- Relating Brain Functional Connectivity to Anatomical Connections: Model Selection.- Information-Theoretic Connectivity-Based Cortex Parcellation.- Inferring Brain Networks through Graphical Models with Hidden Variables.- Pitfalls in EEG-BasedBrain Effective Connectivity Analysis.- Data-Driven Modeling of BOLD Drug Response Curves Using Gaussian Process Learning.- Variational Bayesian Learning of Sparse Representations and Its Application in Functional Neuroimaging.- Identification of Functional Clusters in the Striatum Using Infinite Relational Modeling.- A Latent Feature Analysis of the Neural Representation of Conceptual Knowledge.- Real-Time Functional MRI Classification of Brain States Using Markov-SVM Hybrid Models: Peering Inside the rt-fMRI Black Box.- Restoring the Generalizability of SVM Based Decoding in High Dimensional Neuroimage Data.