The aim of this book is to give a systematic introduction to and overview of the relatively simple and popular linearization ...
Continue readingOne of the original goals of artificial intelligence research was to endow intelligent agents with human-level natural language ...
Continue readingOn the level of a textbook a self-consistent approach to liquid separations with membranes is presented, contrasting equilibrium ...
Continue readingWhen Don Swanson hypothesized a connection between Raynaud’s phenomenon and dietary fish oil, the field of literature-based ...
Continue readingthis book would guide the siting of facilities, the book also shows the use of statistical tools for forecasting and analyzing ...
Continue readingLogic Programming is the name given to a distinctive style of programming, very different from that of conventional programming ...
Continue readingStructural Equations in Language Learning.- On the Distinction between Model-Theoretic and Generative-Enumerative Syntactic ...
Continue readingWhen applying the statistical theory of long range dependent (LRD) processes to economics, the strong complexity of macroeconomic ...
Continue readingMATLAB is used in a wide range of applications in geosciences, such as image processing in remote sensing, generation and ...
Continue readingDesigned to help you make the most of your study time. Maximize your performance on the exam by learning to: * Monitor and ...
Continue readingThis book introduces a new knowledge representation model called MDATA (Multi-dimensional Data Association and inTelligent ...
Continue readingThis volume contains the papers presented during the oral session of the 5 Mexican International Conference on Artificial ...
Continue readingThe Mexican International Conference on Artificial Intelligence (MICAI), a yearly international conference series organized ...
Continue readingThe 96 revised full papers presented together with 2 invited lectures were carefully reviewed and selected from 363 submissions. ...
Continue readingApproaches ML as the computational implementation of the scientific principle. This principle consists of continuously adapting ...
Continue readingDiscusses machine learning and deep learning models for different civil engineering applications. These models work for stochastic ...
Continue readingThis book constitutes the refereed post-proceedings of the First PASCAL Machine Learning Challenges Workshop, MLCW 2005. ...
Continue readingThis book provides a comprehensive coverage of the most important machine learning techniques used and their application ...
Continue readingShowcase novel use-cases and applications, present empirical research results from user-centered qualitative and quantitative ...
Continue readingThis book constitutes the refereed proceedings of the 5th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain ...
Continue reading