Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection
This book focuses on robot introspection, which has a direct impact on physical human–robot interaction and long-term ...
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Object Detection with Deep Learning Models : Principles and Applications / S. Poonkuntran, Rajesh Kumar Dhanraj, Balamurugan Balusamy
Discusses recent advances in object detection and recognition using deep learning methods, which have achieved great success ...
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On the path to AI Law’s prophecies and the conceptual foundations of the machine learning age
This book explores machine learning and its impact on how we make sense of the world. It does so by bringing together two ...
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Ontologies
The primary objective of ONTOLOGIES: A Handbook of Principles, Concepts and Applications in Information Systems is to mobilize ...
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Ontology Alignment
Ontology Alignment: Bridging the Semantic Gap introduces novel methods and approaches for semantic integration. In addition ...
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Open Semantic Technologies for Intelligent System : 10th International Conference, OSTIS 2020, Minsk, Belarus, February 19–22, 2020, Revised Selected Papers
This book constitutes the refereed proceedings of the 10th International Conference on Open Semantic Technologies for Intelligent ...
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Ophthalmic Medical Image Analysis : 7th International Workshop, OMIA 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings
This book constitutes the refereed proceedings of the 6th International Workshop on Ophthalmic Medical Image Analysis, OMIA ...
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PRICAI 2006: Trends in Artificial Intelligence
This book constitutes the refereed proceedings of the 9th Pacific Rim International Conference on Artificial Intelligence, ...
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Parallel Problem Solving from Nature – PPSN XVI : 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part I
This two-volume set LNCS 12269 and LNCS 12270 constitutes the refereed proceedings of the 16th International Conference on ...
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Parallel Problem Solving from Nature – PPSN XVI : 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part II
This two-volume set LNCS 12269 and LNCS 12270 constitutes the refereed proceedings of the 16th International Conference on ...
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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 ...
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Pattern Recognition
Contains sections on image filtering, restoration and segmentation, shape analysis and representation, and recognition. This ...
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Pattern Recognition (vol. # 4174)
This book constitutes the refereed proceedings of the 28th Symposium of the German Association for Pattern Recognition, DAGM ...
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Pattern Recognition and Artificial Intelligence
This book constitutes the refereed proceedings of the Third Mediterranean Conference on Pattern Recognition and Artificial ...
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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 ...
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Practical Aspects of Knowledge Management
The biennial PAKM Conference Series o?ers a communication platform and meeting ground for practitioners and researchers involved ...
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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. ...
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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 ...
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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 ...
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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 ...
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