الصفحة 6
الصفحة 6
Rule Extraction from Support Vector Machines
This book provides an overview of the field and introduces a number of different approaches to extracting rules from support vector machines developed by key researchers. In addition, successful applications are outlined and future research opportunities are discussed. The book is an important reference for researchers and graduate students, and since it provides an introduction to the topic, it will be important in the classroom as well. Because of the significance of both SVMs and user explanation, the book is of relevance to data mining practitioners and data analysts.
Rough sets, fuzzy sets, data mining, and granular computing ; Vol. 3642 ; 10th International conference, RSFDGrC 2005, Regina, Canada, August 31 - September 2, 2005, Proceedings, Part II
The main idea is based on indiscernibility relations that describe indistinguishability of objects. Concepts are represented by - proximations. In applications, rough set methodology focuses on approximate representation of knowledge derivable from data. It leads to signifcant results in many areas such as , industry, multimedia, and medicine. The RSFDGrC conferences put an emphasis on connections between rough sets and fuzzy sets, granularcomputing, and knowledge discoveryand data m- ing, both at the level of theoretical foundations and real-life applications.
Rough sets, fuzzy sets, data mining, and granular computing ; Vol. 3641 ; 10th International conference, RSFDGrC 2005, Regina, Canada, August 31 - September 3, 2005, Proceedings, Part I
The main idea is based on indiscernibility relations that describe indistinguishability of objects. Concepts are represented by - proximations. In applications, rough set methodology focuses on approximate representation of knowledge derivable from data. It leads to signifcant results in many areas such as industry, multimedia, and medicine. The RSFDGrC conferences put an emphasis on connections between rough sets and fuzzy sets, granularcomputing, and knowledge discoveryand data m- ing, both at the level of theoretical foundations and real-life applications.
Rough Sets, Fuzzy Sets, Data Mining and Granular Computing ; 11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007
This volume contains the papers selected for presentation at the 11th Int- national Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC 2007), a part of the Joint Rough Set Symposium (JRS 2007) organized by Infobright Inc. and York University. JRS 2007 was held for the ?rst time during May 14–16, 2007 in MaRS Discovery District, Toronto, Canada.
Rough Sets and Knowledge Technology ; 3rd International Conference, RSKT 2008, Chengdu, China, May 17-19, 2008. Proceedings
This book focus on five major research fields: computing theory and paradigms, knowledge technology, intelligent information processing, intelligent control, and applications. The papers are organized in topical sections on rough and soft computing, rough mereology with applications, dominance-based rough set approach, fuzzy-rough hybridization, granular computing, logical and mathematical foundations, formal concept analysis, data mining, machine learning, intelligent information processing, bioinformatics and cognitive informatics, web intelligence, pattern recognition, and real-life applications of knowledge technology.
Rough Sets and Knowledge Technology ; 2nd International Conference, RSKT 2007, Toronto, Canada, May 14-16, 2007, Proceedings
Constitutes proceedings of the Second International Conference on Rough Sets and Knowledge Technology, RSKT 2007, held in Toronto, Canada in May 2007 in conjunction with the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2007, both as part of the Joint Rough Set Symposium, JRS 2007.
Rough sets and intelligent systems paradigms ; International Conference, RSEISP 2007, Warsaw, Poland, June 28-30, 2007, Proceedings
This book constitutes the refereed proceedings of the International Conference on Rough Sets and Emerging Intelligent Systems Paradigms, held in Warsaw, Poland in June 2007. Seventy-three full papers are presented, together with two keynote lectures and eleven invited papers.
Rough Sets and Current Trends in Computing ; 6th International Conference, RSCTC 2008 Akron, OH, USA, October 23-25, 2008 Proceedings
This book is organized in topical sections on logical and mathematical foundations, data analysis, data mining, decision support systems, clustering, pattern recognition and image processing, as well as bioinformatics. The three special session papers cover topics such as rough sets in data warehousing, classification challenges in email archiving, and approximation theories: granular computing vs. rough sets.
Rough Sets and Current Trends in Computing ; 5th International Conference, RSCTC 2006, Kobe, Japan, November 6-8, 2006, Proceedings
This book constitutes the refereed proceedings of the 5th International Conference on Rough Sets and Current Trends in Computing, RSCTC 2006, held in Kobe, Japan in November 2006. The 91 revised full papers presented together with five invited papers and two commemorative papers were carefully reviewed and selected from 332 submissions.
Rough - Granular Computing in Knowledge Discovery and Data Mining
This book covers methods based on a combination of granular computing, rough sets, and knowledge discovery in data mining (KDD). The discussion of KDD foundations based on the rough set approach and granular computing feature illustrative applications.
Research and Development in Intelligent Systems XXIV ; Proceedings of AI-2007, the 27th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence
They present new and innovative developments in the field, divided into sections on Constraint Satisfaction, AI Techniques, Data Mining and Machine Learning, Multi-Agent Systems, Data Mining, and Knowledge Acquisition and Management.
Research and Development in Intelligent Systems XX I; Proceedings of AI-2004, the 24th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence
Research and development in intelligent systems XXI. The papers in this volume present new and innovative developments in the field, divided into sections on AI Techniques I and II, CBR and Recommender Systems, Ontologies, Intelligent Agents and Scheduling Systems, Knowledge Discovery in Data and Spatial Reasoning, Image Recognition and Hypercubes.
Research and Advanced Technology for Digital Libraries ; 12th European Conference, ECDL 2008, Aarhus, Denmark, September 14-19, 2008. Proceedings
This book is organized in topical sections on digital preservation, social tagging, quatations and annotations, user studies and system evaluation, from content-centric to person-centric systems, citation analysis, collection building, user interfaces and personalization, interoperability, information retrieval, and metadata generation.
Representation learning for natural language processing
Provides an overview of the recent advances in representation learning theory, algorithms, and applications for natural language processing (NLP), ranging from word embeddings to pre-trained language models. It is divided into four parts. Part I presents the representation learning techniques for multiple language entries, including words, sentences and documents, as well as pre-training techniques. Part II then introduces the related representation techniques to NLP, including graphs, cross-modal entries, and robustness. Part III then introduces the representation techniques for the knowledge that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, legal domain knowledge and biomedical domain knowledge. Lastly, Part IV discusses the remaining challenges and future research directions..
Representation Learning for Natural Language Processing
This 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.
Representation Learning : Propositionalization and Embeddings
This monograph addresses advances in representation learning, a cutting-edge research area of machine learning. Representation learning refers to modern data transformation techniques that convert data of different modalities and complexity, including texts, graphs, and relations, into compact tabular representations, which effectively capture their semantic properties and relations. The monograph focuses on (i) propositionalization approaches, established in relational learning and inductive logic programming, and (ii) embedding approaches, which have gained popularity with recent advances in deep learning. The authors establish a unifying perspective on representation learning techniques developed in these various areas of modern data science, enabling the reader to understand the common underlying principles and to gain insight using selected examples and sample Python code. The monograph should be of interest to a wide audience, ranging from data scientists, machine learning researchers and students to developers, software engineers and industrial researchers interested in hands-on AI solutions.
Reliable Face Recognition Methods : System Design, Implementation and Evaluation
This book seeks to comprehensively address the face recognition problem while gaining new insights from complementary fields of endeavor. The book examines the evolution of research surrounding the field to date, explores new directions, and offers specific guidance on the most promising venues for future research and development.
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, ACIIDS 2021, held in Phuket, Thailand, in April 2021. The total of 35 full papers accepted for publication in these proceedings were carefully reviewed and selected from 291 submissions. The papers are organized in the following topical sections: data mining and machine learning methods; advanced data mining techniques and applications; intelligent and contextual systems; natural language processing; network systems and applications; computational imaging and vision; decision support and control systems; data modelling and processing for Industry 4.0.
Real World Applications of Computational Intelligence
This book presents a careful selection of the field that very well reflects the breadth of the discipline. It covers a range of highly relevant and practical design principles governing the development of intelligent systems in data mining, robotics, bioinformatics, and intelligent tutoring systems.
Quality of Software Architectures. Models and Architectures ; 4th International Conference on the Quality of Software-Architectures, QoSA 2008, Karlsruhe, Germany, October 14-17, 2008. Proceedings
This book is organized in topical sections on architectural design and architectural decisions, tracing architectural decisions, architecture evaluation, architecture evolution, architecting process and architectural knowledge.
