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Materie / parole chiave: CAMPBELL, JEREMY; TOUCHSTONE BOOK; 006.3 C188i

AI systems write, paint, compose music and so on. Does this mean that their novels, paintings and songs are (or should be) protected by copyright? If so, who would be the author and copyright holder? New AI tools as Chat...

AI systems write, paint, compose music… does that mean that their novels, paintings and songs should be protected by copyright? If so, who would the author and rights holder be? This work provides 25 key factors for an...

This book is a material aimed at training new graduates and updating practising professionals within the framework of early childhood care (0-6 years). It also opens up training to new professions such as health engineer...

En una era donde los datos lo mueven todo, comprender qué es el Big Data y cómo se conecta con la inteligencia artificial se ha vuelto imprescindible. Este libro ofrece una guía clara, actualizada y accesible sobre u...

En la actualidad los datos han cobrado una importancia esencial en las organizaciones que se están transformando digitalmente y convirtiéndoseen data centric para poder ofrecer un servicio de excelencia a todos sus sta...

En la actualidad los datos han cobrado una importancia esencial en las organizaciones que se están transformando digitalmente y convirtiéndose en data centric para poder ofrecer un servicio de excelencia a todos sus st...

The Artificial Intelligence (AI) revolution, in its different manifestations -expert systems, neural networks, intelligent hybrid systems, etc.- brings with it many technological advances. Although this technology has so...

Materie / parole chiave: Refrigeration and refrigerating machinery; Automatic control; Energy conservation; Mathematical models; Artificial intelligence; Industrial applications; Food industry; Technological innovations

Materie / parole chiave: Machine learning; Artificial intelligence; Electronic books

Materie / parole chiave: Neural networks (Computer science); Artificial intelligence; Information networks; Machine learning

Materie / parole chiave: Artificial intelligence; Machine learning; Bioinformatics; Biotechnology; Pharmacology

Materie / parole chiave: Computer science; Technological innovations; Machine learning; Artificial intelligence

Materie / parole chiave: TensorFlow; Machine learning; Artificial intelligence

The automated categorization (or classification) of texts into predefined categories has witnessed a booming interest in the last 10 years, due to the increased availability of documents in digital form and the ensuing n...

Materie / parole chiave: Classifier (UML); Gene; Computer science; Feature selection; Redundancy (engineering); Gene selection; Support vector machine; Computational biology; sort; Artificial intelligence; Pattern recognition (psychology); Data ...

We consider the problem of classifying documents not by topic, but by overall sentiment, e.g., determining whether a review is positive or negative. Using movie reviews as data, we find that standard machine learning tec...

In k-means clustering, we are given a set of n data points in d-dimensional space R/sup d/ and an integer k and the problem is to determine a set of k points in Rd, called centers, so as to minimize the mean squared dist...

A general non-parametric technique is proposed for the analysis of a complex multimodal feature space and to delineate arbitrarily shaped clusters in it. The basic computational module of the technique is an old pattern ...

Presents a theoretically very simple, yet efficient, multiresolution approach to gray-scale and rotation invariant texture classification based on local binary patterns and nonparametric discrimination of sample and prot...

We present a novel approach to measuring similarity between shapes and exploit it for object recognition. In our framework, the measurement of similarity is preceded by: (1) solving for correspondences between points on ...

In a production system it is usual to stress minimum tardiness to achieve higher client satisfaction. According to the client relevance, job processing costs and requirements, and various other considerations, a weight ...

In static scheduling problems it is assumed that jobs are ready at zero time or before processing begins. In dynamic scheduling problems a job arrival can be given at any instant in the time interval between zero and a l...

In the restricted single-machine common due date problem the goal is to find a schedule for the n jobs which jointly minimizes the sum of earliness and tardiness penalties, while for the weighted tardiness problem the go...