Bayesian networks currently provide one of the most rapidly growing areas of research in computer science and statistics. ...
Lee masThe rapid growth in electronic systems in the past decade has boosted research in the area of computational intelligence. ...
Lee masThe rapid growth in electronic systems in the past decade has boosted research in the area of computational intelligence. ...
Lee masThis book constitutes the refereed proceedings of the 9th International Conference on Intelligent Data Engineering and Automated ...
Lee masThe IFIP series publishes state-of-the-art results in the sciences and technologies of information and communication. The ...
Lee masThis book constitutes the refereed proceedings of the 8th International Conference on Intelligent Tutoring Systems, ITS 2006, ...
Lee masInverse problems are closely related to statistical inference problems, where the observations are used to infer on an underlying ...
Lee masThis is the second and translated edition of the German book “Einf ̈uhrung in die Bayes-Statistik, Springer-Verlag, Berlin ...
Lee masAddresses the fundamentals of kernel methods for machine learning by considering relevant math problems and building Python ...
Lee masThis book contains selected and revised papers of the International Symposium on Knowledge Discovery and Emergent Complexity ...
Lee masThe European Conference on Machine Learning (ECML) and the European Conference on Principles and Practice of Knowledge Discovery ...
Lee masThe two premier annual European conferences in the areas of machine learning and data mining have been collocated ever since ...
Lee masCovers the so-called Bayesian approach to statistical inference and in particular its decision-making aspects. The bases ...
Lee masCovers the so-called Bayesian approach to statistical inference and in particular its decision-making aspects. The bases ...
Lee masThis book describes in detail the practice of the Bayesian statistical approach using many examples chosen for their educational ...
Lee masThe whole volume consisting of 19 chapters is divided into 3 parts: Models and Theories; Operators and Frameworks; Applications. ...
Lee masThis book constitutes the refereed post-proceedings of the First PASCAL Machine Learning Challenges Workshop, MLCW 2005. ...
Lee masThis book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ...
Lee masThis book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ...
Lee masPresents recent advancements in research, a review of new methods and techniques, and applications in decision support systems ...
Lee mas