Bemærk: Kan leveres før jul.
This textbook for senior undergraduate and graduate students offers comprehensive coverage, an algorithmic perspective, and a wealth... Læs mere
Bemærk: Kan leveres før jul.
Recent years have seen an explosion in the volume and variety of data collected in scientific disciplines from astronomy to genetics and industrial... Læs mere
Bemærk: Kan leveres før jul.
An intuitive approach to machine learning detailing the key concepts needed to build products and conduct research. Featuring color... Læs mere
Bemærk: Kan leveres før jul.
The data sciences are moving fast, and probabilistic methods are both the foundation and a driver. This highly motivated... Læs mere
Bemærk: Kan leveres før jul.
Bemærk: Kan ikke leveres før jul.
Shankar Sastry is Dean of the College of Engineering, Professor of Electrical Engineering and Computer Science and Professor of Bioengineering at the University of California, Berkeley.
Bemærk: Kan ikke leveres før jul.
This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues.
Bemærk: Kan leveres før jul.
This self-contained textbook introduces all the relevant mathematical concepts needed to understand and use machine learning methods, with a minimum of prerequisites.... Læs mere
Bemærk: Kan ikke leveres før jul.
A comprehensive overview of high-performance pattern recognition techniques and approaches to Computational Molecular Biology This book surveys the developments of techniques and approaches on pattern recognition related to Computational Molecular Biology.
Bemærk: Kan leveres før jul.
While the deployment of large-scale biometric systems in both commercial and government applications has increased the public awareness of this technology, "Introduction to... Læs mere
Bemærk: Kan ikke leveres før jul.
Provides an approach to pattern recognition in which objects are characterized by relations to other objects instead of by using features or models. This book is intended for researchers and systems designers studying or developing pattern recognition systems.
Bemærk: Kan ikke leveres før jul.
Contains a series of ICAPR proceedings on the advances of different facets of pattern recognition. This work tackles open... Læs mere