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