The advancements of computational and informational techniques have enabled in silico testing of many lab-based experiments in life sciences before performing them in in vitro or in vivo.
This book contains selected and revised papers of the International Symposium on Knowledge Discovery and Emergent Complexity in Bioinformatics (KDECB 2006), held at the University of Ghent, Belgium, May 10, 2006.
This book constitutes the refereed proceedings of the 4th International Conference on Algorithmic Aspects in Information and Management, AAIM 2008, held in Shanghai, China, in June 2008.
This volume contains the papers presented at the 7th International Conference on Independent Component Analysis (ICA) and Source Separation held in L- don, 9-12 September 2007, at Queen Mary, University of London.
This volume contains the papers presented at the inaugural workshop on Data Mining and Bioinformatics at the 32nd International Conference on Very Large Data Bases (VLDB).
The two premier annual European conferences in the areas of machine learning anddatamining havebeencollocatedeversincethejointconferenceinFreiburg, Germany,2001.
This volume contains the papers which were selected for oral presentation at the first Bioinformatics Research and Development (BIRD) conference held in Berlin, Germany during March 12-14, 2007.
Introduction The dramatic increase in available computer storage capacity over the last 10 years has led to the creation of very large databases of scienti?
The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) is a leading international conference in the area of data mining and knowledge discovery.
The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) is a leading international conference in the area of data mining and knowledge discovery.
Wallis's book on discrete mathematics is a resource for an introductory course in a subject fundamental to both mathematics and computer science, a course that is expected not only to cover certain specific topics but also to introduce students to important modes of thought specific to each discipline .
This standard work on statistical methods in life sciences and medicine provides easily understandable, illustrative, and practical guidance to students, lecturers and practitioners alike, covering all necessary methods for targeted and careful data collection, analysis, and evaluation.
Desde las diferentes areas del conocimiento que pretendan ser consideradas como cientificas o cuyas teorias pretendan ser validadas, el uso de la estadistica toma relevancia.
This book offers an in-depth review of kinetically constrained models (KCMs), a topic that lies at the crossroads of probability and statistical mechanics.
This book constitutes the joint refereed proceedings of the 16th International Conference on Next Generation Wired/Wireless Advanced Networks and Systems, NEW2AN 2016, and the 9th Conference on Internet of Things and Smart Spaces, ruSMART 2016, held in St.
The advent of low cost computation has made many previously intractable econometric models empirically feasible and computational methods are now realized as an integral part of the theory.
Dieses Buch stellt eine aktuelle Auswahl mathematisch-statistischer Methoden und Stichprobenstrategien zum Umgang mit kontinuierlichen Messgrößen in Raum und Zeit dar.
This proceedings compilation emerges from the exchange of research insights and innovative ideas among academicians, researchers, practitioners, and students in the field of computer science.
This proceedings compilation emerges from the exchange of research insights and innovative ideas among academicians, researchers, practitioners, and students in the field of computer science.
This proceedings compilation emerges from the exchange of research insights and innovative ideas among academicians, researchers, practitioners, and students in the field of computer science.
This proceedings compilation emerges from the exchange of research insights and innovative ideas among academicians, researchers, practitioners, and students in the field of computer science.
This book offers an in-depth review of kinetically constrained models (KCMs), a topic that lies at the crossroads of probability and statistical mechanics.
One of the greatest changes in sports analytics in the past 25 years has been the use of mathematical methods to analyze performances, recognize trends and patterns, and predict results.