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 reading
On the level of a textbook a self-consistent approach to liquid separations with membranes is presented, contrasting equilibrium ...
Continue reading
When Don Swanson hypothesized a connection between Raynaud’s phenomenon and dietary fish oil, the field of literature-based ...
Continue reading
this book would guide the siting of facilities, the book also shows the use of statistical tools for forecasting and analyzing ...
Continue reading
Logic Programming is the name given to a distinctive style of programming, very different from that of conventional programming ...
Continue reading
Structural Equations in Language Learning.- On the Distinction between Model-Theoretic and Generative-Enumerative Syntactic ...
Continue reading
When applying the statistical theory of long range dependent (LRD) processes to economics, the strong complexity of macroeconomic ...
Continue reading
MATLAB is used in a wide range of applications in geosciences, such as image processing in remote sensing, generation and ...
Continue reading
Designed to help you make the most of your study time. Maximize your performance on the exam by learning to: * Monitor and ...
Continue reading
This book introduces a new knowledge representation model called MDATA (Multi-dimensional Data Association and inTelligent ...
Continue reading
This volume contains the papers presented during the oral session of the 5 Mexican International Conference on Artificial ...
Continue reading
The Mexican International Conference on Artificial Intelligence (MICAI), a yearly international conference series organized ...
Continue reading
The 96 revised full papers presented together with 2 invited lectures were carefully reviewed and selected from 363 submissions. ...
Continue reading
Approaches ML as the computational implementation of the scientific principle. This principle consists of continuously adapting ...
Continue reading
Discusses machine learning and deep learning models for different civil engineering applications. These models work for stochastic ...
Continue reading
This book constitutes the refereed post-proceedings of the First PASCAL Machine Learning Challenges Workshop, MLCW 2005. ...
Continue reading
This book provides a comprehensive coverage of the most important machine learning techniques used and their application ...
Continue reading
Showcase 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