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Benelearn 94
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Book Synopsis Constraint Processing by : Manfred Meyer
Download or read book Constraint Processing written by Manfred Meyer and published by Springer Science & Business Media. This book was released on 1995-06-20 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains 15 thoroughly refereed full research papers selected from the presentations given during two workshops on constraint processing; these workshops were held in conjunction with the International Congress on Computer Systems and Applied Mathematics (St. Petersburg, Russia, July 1993) and the European Conference on Artificial Intelligence (Amsterdam, The Netherlands, August 1994). This volume essentially contributes to integrating the different approaches to the young and very active field of constraint processing by offering papers from logic programming, knowledge representation, expert systems, theoretical computer science, operations research, and other fields. Among contributions are two surveys, by Podelski and van Roy and by Freuder.
Book Synopsis Artificial Intelligence in Economics and Managment by : Phillip Ein-Dor
Download or read book Artificial Intelligence in Economics and Managment written by Phillip Ein-Dor and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the past decades several researchers have developed statistical models for the prediction of corporate bankruptcy, e. g. Altman (1968) and Bilderbeek (1983). A model for predicting corporate bankruptcy aims to describe the relation between bankruptcy and a number of explanatory financial ratios. These ratios can be calculated from the information contained in a company's annual report. The is to obtain a method for timely prediction of bankruptcy, a so ultimate purpose called "early warning" system. More recently, this subject has attracted the attention of researchers in the area of machine learning, e. g. Shaw and Gentry (1990), Fletcher and Goss (1993), and Tam and Kiang (1992). This research is usually directed at the comparison of machine learning methods, such as induction of classification trees and neural networks, with the "standard" statistical methods of linear discriminant analysis and logistic regression. In earlier research, Feelders et al. (1994) performed a similar comparative analysis. The methods used were linear discriminant analysis, decision trees and neural networks. We used a data set which contained 139 annual reports of Dutch industrial and trading companies. The experiments showed that the estimated prediction error of both the decision tree and neural network were below the estimated error of the linear discriminant. Thus it seems that we can gain by replacing the "traditionally" used linear discriminant by a more flexible classification method to predict corporate bankruptcy. The data set used in these experiments was very small however.
Author :Francesco Bergadano Publisher :Springer Science & Business Media ISBN 13 :9783540578680 Total Pages :460 pages Book Rating :4.5/5 (786 download)
Book Synopsis Machine Learning: ECML-94 by : Francesco Bergadano
Download or read book Machine Learning: ECML-94 written by Francesco Bergadano and published by Springer Science & Business Media. This book was released on 1994-03-22 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the proceedings of the European Conference on Machine Learning 1994, which continues the tradition of earlier meetings and which is a major forum for the presentation of the latest and most significant results in machine learning. Machine learning is one of the most important subfields of artificial intelligence and computer science, as it is concerned with the automation of learning processes. This volume contains two invited papers, 19 regular papers, and 25 short papers carefully reviewed and selected from in total 88 submissions. The papers describe techniques, algorithms, implementations, and experiments in the area of machine learning.
Download or read book Benelearn-94 written by J. C. Bioch and published by . This book was released on 1994 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Report CS-R written by and published by . This book was released on 1994 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Food Process Modelling by : L M M Tijskens
Download or read book Food Process Modelling written by L M M Tijskens and published by Woodhead Publishing. This book was released on 2001-06-14 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: Food process modelling provides an authoritative review of one of the most exciting and influential developments in the food industry. The modelling of food processes allows analysts not only to understand such processes more clearly but also to control them more closely and make predictions about them. Modelling thus aids the search for greater and more consistent food quality. Written by a distinguished international team of experts, Food process modelling covers both the range of modelling techniques and their practical applications across the food chain.
Book Synopsis Advances in Intelligent Data Analysis by : Frank Hoffmann
Download or read book Advances in Intelligent Data Analysis written by Frank Hoffmann and published by Springer. This book was released on 2003-06-30 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 4th International Conference on Intelligent Data Analysis, IDA 2001, held in Cascais, Portugal, in September 2001.The 37 revised full papers presented were carefully reviewed and selected from a total of almost 150 submissions. All current aspects of this interdisciplinary field are addressed; the areas covered include statistics, artificial intelligence, neural networks, machine learning, data mining, and interactive dynamic data visualization.
Book Synopsis Situation Awareness with Systems of Systems by : Piërre van de Laar
Download or read book Situation Awareness with Systems of Systems written by Piërre van de Laar and published by Springer Science & Business Media. This book was released on 2013-02-03 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses various aspects, challenges, and solutions for developing systems-of-systems for situation awareness, using applications in the domain of maritime safety and security. Topics include advanced, multi-objective visualization methods for situation awareness, stochastic outlier selection, rule-based anomaly detection, an ontology-based event model for semantic reasoning, new methods for semi-automatic generation of adapters bridging communication gaps, security policies for systems-of-systems, trust assessment, and methods to deal with the dynamics of systems-of-systems in run-time monitoring, testing, and diagnosis. Architectural considerations for designing information-centric systems-of-systems such as situation awareness systems, and an integrated demonstrator implementing many of the investigated aspects, complete the book.
Book Synopsis An Introduction to Universal Artificial Intelligence by : Marcus Hutter
Download or read book An Introduction to Universal Artificial Intelligence written by Marcus Hutter and published by CRC Press. This book was released on 2024-05-28 with total page 517 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Universal Artificial Intelligence provides the formal underpinning of what it means for an agent to act intelligently in an unknown environment. First presented in Universal Algorithmic Intelligence (Hutter, 2000), UAI offers a framework in which virtually all AI problems can be formulated, and a theory of how to solve them. UAI unifies ideas from sequential decision theory, Bayesian inference, and algorithmic information theory to construct AIXI, an optimal reinforcement learning agent that learns to act optimally in unknown environments. AIXI is the theoretical gold standard for intelligent behavior. The book covers both the theoretical and practical aspects of UAI. Bayesian updating can be done efficiently with context tree weighting, and planning can be approximated by sampling with Monte Carlo tree search. It provides algorithms for the reader to implement, and experimental results to compare against. These algorithms are used to approximate AIXI. The book ends with a philosophical discussion of Artificial General Intelligence: Can super-intelligent agents even be constructed? Is it inevitable that they will be constructed, and what are the potential consequences? This text is suitable for late undergraduate students. It provides an extensive chapter to fill in the required mathematics, probability, information, and computability theory background.
Book Synopsis Component-Based User Guidance in Knowledge Discovery and Data Mining by : Robert Engels
Download or read book Component-Based User Guidance in Knowledge Discovery and Data Mining written by Robert Engels and published by IOS Press. This book was released on 1999 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Machine Learning and Knowledge Discovery in Databases by : Hendrik Blockeel
Download or read book Machine Learning and Knowledge Discovery in Databases written by Hendrik Blockeel and published by Springer. This book was released on 2013-08-28 with total page 732 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-volume set LNAI 8188, 8189 and 8190 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2013, held in Prague, Czech Republic, in September 2013. The 111 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 447 submissions. The papers are organized in topical sections on reinforcement learning; Markov decision processes; active learning and optimization; learning from sequences; time series and spatio-temporal data; data streams; graphs and networks; social network analysis; natural language processing and information extraction; ranking and recommender systems; matrix and tensor analysis; structured output prediction, multi-label and multi-task learning; transfer learning; bayesian learning; graphical models; nearest-neighbor methods; ensembles; statistical learning; semi-supervised learning; unsupervised learning; subgroup discovery, outlier detection and anomaly detection; privacy and security; evaluation; applications; and medical applications.
Book Synopsis Artificial Intelligence and Machine Learning by : Toon Calders
Download or read book Artificial Intelligence and Machine Learning written by Toon Calders and published by Springer Nature. This book was released on 2023-09-04 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains a selection of the best papers of the 34th Benelux Conference on Artificial Intelligence, BNAIC/ BENELEARN 2022, held in Mechelen, Belgium, in November 2022. The 11 papers presented in this volume were carefully reviewed and selected from 134 regular submissions. They address various aspects of artificial intelligence such as natural language processing, agent technology, game theory, problem solving, machine learning, human-agent interaction, AI and education, and data analysis.
Book Synopsis Proceedings of the International Conference on Natural Language Processing (ICON--2005) by :
Download or read book Proceedings of the International Conference on Natural Language Processing (ICON--2005) written by and published by Allied Publishers. This book was released on 2005 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contributed papers presented at the 2005 International Conference, held at IIT Kanpur, organized by NLP Association of India, etc.
Book Synopsis Machine Learning and Artificial Intelligence by : A.J. Tallón-Ballesteros
Download or read book Machine Learning and Artificial Intelligence written by A.J. Tallón-Ballesteros and published by IOS Press. This book was released on 2020-12-15 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning and artificial intelligence are already widely applied to facilitate our daily lives, as well as scientific research, but with the world currently facing a global COVID-19 pandemic, their capacity to provide an important tool to support those searching for a way to combat the novel corona virus has never been more important. This book presents the proceedings of the International Conference on Machine Learning and Intelligent Systems (MLIS 2020), which was due to be held in Seoul, Korea, from 25-28 October 2020, but which was delivered as an online conference on the same dates due to COVID-19 restrictions. MLIS 2020 was the latest in a series of annual conferences that aim to provide a platform for exchanging knowledge about the most recent scientific and technological advances in the field of machine learning and intelligent systems. The annual conference also strengthens links within the scientific community in related research areas. The book contains 53 papers, selected from more than 160 submissions and presented at MLIS 2020. Selection was based on the results of review and scored on: originality, scientific/practical significance, compelling logical reasoning and language. Topics covered include: data mining, image processing, neural networks, human health, natural language processing, video processing, computational intelligence, expert systems, human-computer interaction, deep learning, and robotics. Offering a current overview of research and developments in machine learning and artificial intelligence, the book will be of interest to all those working in the field.
Book Synopsis Parallel Text Processing by : Jean Véronis
Download or read book Parallel Text Processing written by Jean Véronis and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: l This book evolved from the ARCADE evaluation exercise that started in 1995. The project's goal is to evaluate alignment systems for parallel texts, i. e. , texts accompanied by their translation. Thirteen teams from various places around the world have participated so far and for the first time, some ten to fifteen years after the first alignment techniques were designed, the community has been able to get a clear picture of the behaviour of alignment systems. Several chapters in this book describe the details of competing systems, and the last chapter is devoted to the description of the evaluation protocol and results. The remaining chapters were especially commissioned from researchers who have been major figures in the field in recent years, in an attempt to address a wide range of topics that describe the state of the art in parallel text processing and use. As I recalled in the introduction, the Rosetta stone won eternal fame as the prototype of parallel texts, but such texts are probably almost as old as the invention of writing. Nowadays, parallel texts are electronic, and they are be coming an increasingly important resource for building the natural language processing tools needed in the "multilingual information society" that is cur rently emerging at an incredible speed. Applications are numerous, and they are expanding every day: multilingual lexicography and terminology, machine and human translation, cross-language information retrieval, language learning, etc.
Book Synopsis Artificial Intelligence and Machine Learning by : Mitra Baratchi
Download or read book Artificial Intelligence and Machine Learning written by Mitra Baratchi and published by Springer Nature. This book was released on 2021-05-19 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains a selection of the best papers of the 32nd Benelux Conference on Artificial Intelligence, BNAIC/Benelearn 2020, held in Leiden, The Netherlands, in November 2020. Due to the COVID-19 pandemic the conference was held online. The 12 papers presented in this volume were carefully reviewed and selected from 41 regular submissions. They address various aspects of artificial intelligence such as natural language processing, agent technology, game theory, problem solving, machine learning, human-agent interaction, AI and education, and data analysis. The chapter 11 is published open access under a CC BY license (Creative Commons Attribution 4.0 International License) Chapter “Gaining Insight into Determinants of Physical Activity Using Bayesian Network Learning” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com..
Book Synopsis DIE ARCHITEKTURTYPEN DES "SELF-ORGANIZING (FEATURE) MAP (SO(F)M)" NACH TEUVO KOHONEN by : Harald Maurer
Download or read book DIE ARCHITEKTURTYPEN DES "SELF-ORGANIZING (FEATURE) MAP (SO(F)M)" NACH TEUVO KOHONEN written by Harald Maurer and published by BoD – Books on Demand. This book was released on 2009 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: Das Buch stellt eine leicht überarbeitete Fassung meiner Studienarbeit dar, die ich im Fachbereich Informatik bei Prof. Dr. M. Bogdan im Wintersemester 2003/04 und im Sommersemester 2004 geschrieben habe. Es gibt erstmals einen umfassenden Überblick über die wichtigsten Architekturtypen der "Selbstorganisierende (Merkmals-)Karte" (engl."Self-Organizing (Feature) Map (SO(F)M))" des finnischen Ingenieurs Teuvo Kohonen, auch "Kohonen-Karte" genannt, die eine der bedeutendsten Modelle im Rahmen der Theorie der künstlichen Neuronalen Netzwerke darstellt. Es werden dabei die relevantesten Passagen aus den wichtigsten Artikeln der jeweiligen Autoren zitiert, die die zentralen Konzepte der diversen Architekturmodelle wiedergeben und dann zusammengefaßt und kommentiert.
