Browse Items (19 total)

  • Collection: 004 Data Processing & Computer Science

buku 6.jpg
This open access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains selected papers from the fifth international Conference ML4CPS – Machine Learning for Cyber Physical Systems,…

User Satisfaction with Personalised Internet.jpg
The study focuses on user satisfaction with websites and personalised internet applications in particular. The abundance of information on the web is increasing more and more. Therefore, the significance of websites targeting the users’ preferences,…

Representation Learning for Natural Language Processing_cover.jpg
This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning…

Introduction to Data Science_cover.jpg
“Introduction to Data Science and Machine Learning” has been created with the goal to provide beginners seeking to learn about data science, data enthusiasts, and experienced data professionals with a deep understanding of data science application…

cover.jpg
Artificial Intelligence, Deep Learning, Machine Learning, Supercomputing

1002154.pdf.jpg
privacy; data protection; data mining; predictive analytics

Trends and Challenges.jpg
Research conducted on robotic applications has grown significantly in the last decade, and today, robotic systems are used for a variety of purposes. To achieve general application of robots, researchers have attempted to study various methods and…

The Hybrid Face.jpg
This original and interdisciplinary volume explores the contemporary semiotic dimensions of the face from both scientific and sociocultural perspectives, putting forward several traditions, aspects, and signs of the human utopia of creating a hybrid…

2. gambar. metalearning.jpg
This open access book offers a comprehensive and thorough introduction to almost all aspects of metalearning and automated machine learning (AutoML), covering the basic concepts and architecture, evaluation, datasets, hyperparameter optimization,…
Output Formats

atom, csv, dcmes-xml, json, omeka-xml, rss2