|
Showing 1 - 15 of
15 matches in All Departments
|
PRICAI 2019: Trends in Artificial Intelligence - 16th Pacific Rim International Conference on Artificial Intelligence, Cuvu, Yanuca Island, Fiji, August 26-30, 2019, Proceedings, Part II (Paperback, 1st ed. 2019)
Abhaya C. Nayak, Alok Sharma
|
R1,603
Discovery Miles 16 030
|
Ships in 10 - 15 working days
|
This three-volume set, LNAI 11670, LNAI 11671, and LNAI 11672
constitutes the thoroughly refereed proceedings of the 16th Pacific
Rim Conference on Artificial Intelligence, PRICAI 2019, held in
Cuvu, Yanuca Island, Fiji, in August 2019. The 111 full papers and
13 short papers presented in these volumes were carefully reviewed
and selected from 265 submissions. PRICAI covers a wide range of
topics such as AI theories, technologies and their applications in
the areas of social and economic importance for countries in the
Pacific Rim.
|
PRICAI 2019: Trends in Artificial Intelligence - 16th Pacific Rim International Conference on Artificial Intelligence, Cuvu, Yanuca Island, Fiji, August 26-30, 2019, Proceedings, Part I (Paperback, 1st ed. 2019)
Abhaya C. Nayak, Alok Sharma
|
R1,617
Discovery Miles 16 170
|
Ships in 10 - 15 working days
|
This three-volume set, LNAI 11670, LNAI 11671, and LNAI 11672
constitutes the thoroughly refereed proceedings of the 16th Pacific
Rim Conference on Artificial Intelligence, PRICAI 2019, held in
Cuvu, Yanuca Island, Fiji, in August 2019. The 111 full papers and
13 short papers presented in these volumes were carefully reviewed
and selected from 265 submissions. PRICAI covers a wide range of
topics such as AI theories, technologies and their applications in
the areas of social and economic importance for countries in the
Pacific Rim.
|
PRICAI 2019: Trends in Artificial Intelligence - 16th Pacific Rim International Conference on Artificial Intelligence, Cuvu, Yanuca Island, Fiji, August 26-30, 2019, Proceedings, Part III (Paperback, 1st ed. 2019)
Abhaya C. Nayak, Alok Sharma
|
R2,931
Discovery Miles 29 310
|
Ships in 10 - 15 working days
|
This three-volume set LNAI 11670, LNAI 11671, and LNAI 11672
constitutes the thoroughly refereed proceedings of the 16th Pacific
Rim Conference on Artificial Intelligence, PRICAI 2019, held in
Cuvu, Yanuca Island, Fiji, in August 2019. The 111 full papers and
13 short papers presented in these volumes were carefully reviewed
and selected from 265 submissions. PRICAI covers a wide range of
topics such as AI theories, technologies and their applications in
the areas of social and economic importance for countries in the
Pacific Rim.
Genetics is a challenging topic for dental students to understand.
This book has been written in clear and easy language to help
students built a clear concept about Genetics. It will also help
the Post graduate students to understand the link between genetics
and Periodontal Disease. The book begins with a brief introduction
about genetics and the various basic terminologies associated with
it. Various basic genetic study designs used to assess the
relationship between genetics and oral diseases have been
explained.The authors have thrown light on the newer diagnostic and
treatment modalities for various oral and periodontal diseases
which are based on genetics and gene therapy. The book will
definitely benefit all the under graduate and graduate students to
understand and upgrade their existing knowledge about genetics and
periodontal disease.
In this book a number of novel algorithms for dimension reduction
and statistical pattern recognition for both supervised and
unsupervised learning tasks have been presented. Several existing
pattern classifiers and dimension reduction algorithms are studied.
Their limitations and/or weaknesses are considered and accordingly
improved techniques are given which overcome several of their
shortcomings. Highlights are: i) Survey of basic dimensional
reduction tools viz. principal component analysis and linear
discriminant analysis are conducted. ii) Development of Fast PCA
technique which finds the desired number of leading eigenvectors
with much less computational cost. iii) Development of gradient LDA
technique for SSS problem. iv) The rotational LDA technique is
developed to reduce the overlapping of samples between the classes.
v) A combined classifier using MDC, class-dependent PCA and LDA is
presented. vi) The splitting technique initialization is introduced
in the local PCA technique. vii) A new perspective of subspace ICA
(generalized ICA, where all the components need not be independent)
is introduced by developing vector kurtosis (an extension of
kurtosis) function.
|
|