Partial Covers, Reducts and Decision Rules in Rough Sets : Theory and Applications
This monograph is devoted to theoretical and experimental study of partial reducts and partial decision rules on the basis ...
Lee mas
Pattern Recognition
Contains sections on image filtering, restoration and segmentation, shape analysis and representation, and recognition. This ...
Lee mas
Pattern Recognition (vol. # 4174)
This book constitutes the refereed proceedings of the 28th Symposium of the German Association for Pattern Recognition, DAGM ...
Lee mas
Pattern Recognition and Artificial Intelligence
This book constitutes the refereed proceedings of the Third Mediterranean Conference on Pattern Recognition and Artificial ...
Lee mas
Pharmaco-complexity : Non-Linear Phenomena and Drug Product Development
Non-linear phenomena pervade the pharmaceutical sciences. Understanding the interface between each of these phenomena and ...
Lee mas
Practical Aspects of Knowledge Management
The biennial PAKM Conference Series o?ers a communication platform and meeting ground for practitioners and researchers involved ...
Lee mas
Practical Explainable AI Using Python : Artificial Intelligence Model Explanations Using Python-based Libraries, Extensions, and Frameworks / Pradeepta Mishra
Learn the ins and outs of decisions, biases, and reliability of AI algorithms and how to make sense of these predictions. ...
Lee mas
Practical Hydroinformatics : Computational Intelligence and Technological Developments in Water Applications
Hydroinformatics is an emerging subject that is expected to gather speed, momentum and critical mass throughout the forthcoming ...
Lee mas
Practical Machine Learning for Streaming Data with Python : Design, Develop, and Validate Online Learning Models / Sayan Putatunda
A quick start guide for data scientists and machine learning engineers looking to implement machine learning models for streaming ...
Lee mas
Probabilistic Inductive Logic Programming : Theory and Applications
One of the key open questions within arti?cial intelligence is how to combine probability and logic with learning. This question ...
Lee mas
Probability in Electrical Engineering and Computer Science An Application-Driven Course
This revised textbook motivates and illustrates the techniques of applied probability by applications in electrical engineering ...
Lee mas
Problems on Algorithms : A Comprehensive Exercise Book for Students in Software Engineering / Habib Izadkhah
Provides a comprehensive collection of practical problems on the design, analysis and verification of algorithms Includes ...
Lee masProcess Mining Workshops : ICPM 2021 International Workshops, Eindhoven, The Netherlands, October 31 – November 4, 2021, Revised Selected Papers
This open access book constitutes revised selected papers from the International Workshops held at the Third International ...
Lee mas
Progress in Artificial Intelligence
This book constitutes the refereed proceedings of the 20th EPIA Conference on Artificial Intelligence, EPIA 2021, held virtually ...
Lee mas
Projection-Based Clustering through Self-Organization and Swarm Intelligence
It covers aspects of unsupervised machine learning used for knowledge discovery in data science and introduces a data-driven ...
Lee mas
Recent Advances in Reinforcement Learning : 8th European Workshop, EWRL 2008, Villeneuve d’Ascq, France, June 30-July 3, 2008, Revised and Selected Papers
They are dedicated to the field of and current researches in reinforcement learning.There was an air of excitement as substantial ...
Lee mas
Recent Challenges in Intelligent Information and Database Systems : 13th Asian Conference, ACIIDS 2021, Phuket, Thailand, April 7–10, 2021, Proceedings
This volume constitutes the refereed proceedings of the 13th Asian Conference on Intelligent Information and Database Systems, ...
Lee mas
Reliable Face Recognition Methods
This book seeks to comprehensively address the face recognition problem while gaining new insights from complementary fields ...
Lee mas
Representation Learning
This monograph addresses advances in representation learning, a cutting-edge research area of machine learning. Representation ...
Lee mas
Representation Learning for Natural Language Processing
This book provides an overview of the recent advances in representation learning theory, algorithms and applications for ...
Lee mas
