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2013, ISBN 1461468485, xiii, 600 pages
Book specializes in data analysis with focus on practice of predictive modeling Useful as a guide for practitioners Reader can reproduce all results using R. 
Prediction theory | Mathematical models | R (Computer program language) | Mathematical statistics | Statistics
Book
2014, First edition., ISBN 0198709021, xxvii, 449 pages, 4 unnumbered pages of color plates
At the crossroads between statistics and machine learning, probabilistic graphical models provide a powerful formal framework to model complex data... 
Genetics | Mathematical models | Biomathematics and Statistics | Probability and Statistics | Genomics | Statistical methods | Graphical modeling (Statistics) | Life Sciences | Human health and pathology | Quantitative Methods | Vegetal Biology | Statistics | Machine Learning
Book
2005, 2nd ed., ISBN 0387250115, xvi, 475
This extensively revised second edition describes the essentials of creating and analyzing mathematical and computer simulation models... 
Computer simulation | Mathematical models | Biological systems
Book
Neuroinformatics, ISSN 1539-2791, 2003
Journal
2011, Computational neuroscience, ISBN 0195387244, xiii, 446
This book provides an introduction into both computational models and experimental paradigms that are concerned with sensory cue integration both within and between sensory modalities... 
Cognitive neuroscience | Computational neuroscience | Senses and sensation | Cognitive Psychology | Neuropsychology | Neural implementation | Cue combination | Sensory cue integrations | Bayesian statistics | Computational models | Experimental paradigms | Sensory modalities
Book
Journal of computational neuroscience, ISSN 1573-6873, 1994
Journal
Evolutionary computation, ISSN 1063-6560, 1993
Journal
2006, Methods and principles in medicinal chemistry, ISBN 3527310878, Volume 27, xviii, 307
This unique reference source, edited by the world's most respected expert on molecular interaction field software, covers all relevant principles of the GRID... 
Computer simulation | Chemical reactions | Biomolecules | Drug development | Physiological effect | Forecasting | Pharmaceutical chemistry | Chemicals | Structure-activity relationships (Biochemistry)
Book
2007, Oxford Neuroscience Series, ISBN 0195100271, xx, 832
The hippocampus is one of a group of remarkable structures embedded within the brain's medial temporal lobe. Long known to be important for memory, it has been... 
Models, Theoretical | Hippocampus ( Brain) | Memory | Physiology | anatomy & histology | Hippocampus | Synaptic Transmission | Molecular and Cellular Systems | Cognition and Behavioural Neuroscience | Hippocampus (Brain) | Brain | Temporal lobe | Computational algorithms | Synaptic plasticity | Connectivity | Cognition | Behavior | Neuroscience research
Book
2009, Synthesis lectures on human language technologies, ISBN 9781598295917, Volume 1, Issue 1, xiii, 125
Book
2013, ISBN 0815344678, xiii, 445
Book
Journal of computer-aided molecular design, ISSN 0920-654X, 1987
Journal
2005, ISBN 0387220240, xxix, 538
A review of the current theories of the visual cortex and the biological data on which they are based, this book presents a unified computational approach to... 
Computer simulation | Visual cortex | Life Sciences | Neurosciences | Biomedical and Life Sciences | Ophthalmology | Neurobiology | Computer Appl. in Life Sciences
Book
2005, ISBN 3540214852, x, 322
Computer simulations not only belong to the most important methods for the theoretical investigation of granular materials, but provide the tools that have... 
Granular materials | Mathematical models
Book
2010, 1st ed., Wiley Series in Bioinformatics, ISBN 0470470593, Volume 14, xiv, 500 p., [16] p. of plates
A look at the methods and algorithms used to predict protein structure A thorough knowledge of the function and structure of proteins is critical for the... 
Life Sciences | Bioinformatics & Computational Biology | SCIENCE | Molecular Biology | Proteins—Structure—Mathematical models | Proteins—Structure—Computer simulation | Proteins | Mathematical models | Computer simulation | Structure
Book
2012, Computational neuroscience series, ISBN 0262015374, xvi, 361 p., [24] p. of plates
How powerful new methods in nonlinear control engineering can be applied to neuroscience, from fundamental model formulation to advanced medical applications. 
nonlinear control theory | computational neuroscience | Nonlinear control theory | Computational neuroscience | Neural Networks (Computer)
Book