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Lattice Functions and Equations
One of the chief aims of this self-contained monograph is to survey recent developments of Boolean functions and equations, as well as lattice functions and equations in more general classes of lattices. Lattice (Boolean) functions are algebraic functions defined over an arbitrary lattice (Boolean algebra), while lattice (Boolean) equations are equations expressed in terms of lattice (Boolean) functions. Special attention is also paid to consistency conditions and reproductive general solutions. Applications refer to graph theory, automata theory, synthesis of circuits, fault detection, databases, marketing and others. Lattice Functions and Equations updates and extends the author's previous monograph - Boolean Functions and Equations.
Natural Language Processing and Information Systems
The workshop on Applications of Natural Language to Information Systems (NLDB)hassince1995providedaforumforacademicandindustrialresearchers and practitioners to discuss the application of natural language to both the development and use of software applications. Theuseofnaturallanguageinrelationtosoftwarehascontributedtoimpr- ing the development of software from the viewpoints of both the developers and the users. Developers bene?t from improvements in conceptual modeling, so- ware validation, natural language program speci?cations, and many other areas. Users bene?t from increased usability of applications through natural language query interfaces, semantic webs, text summarizations, etc. The integration of natural language and information systems has been a - search objective for a long time now. Today, the goal of good integration seems not so far-fetched. This is due mainly to the rapid progress of research in natural language and to the development of new and powerful technologies. The in- gration of natural language and information systems has become a convergent point towards which many researchers from several research areas are focussing.
Option Pricing and Estimation of Financial Models with R
Presents inference and simulation of stochastic process in the field of model calibration for financial times series modelled by continuous time processes and numerical option pricing. Introduces the bases of probability theory and goes on to explain how to model financial times series with continuous models, how to calibrate them from discrete data and further covers option pricing with one or more underlying assets based on these models. Analysis and implementation of models goes beyond the standard Black and Scholes framework and includes Markov switching models, Lévy models and other models with jumps (e.g. the telegraph process); Topics other than option pricing include: volatility and covariation estimation, change point analysis, asymptotic expansion and classification of financial time series from a statistical viewpoint. The book features problems with solutions and examples. All the examples and R code are available as an additional R package, therefore all the examples can be reproduced.
Intelligent Information Processing VII
This book constitutes the refereed proceedings of the 8th IFIP TC 12 International Conference on Intelligent Information Processing, IIP 2014, held in Hangzhou, China, in October 2014. The 32 revised papers presented were carefully reviewed and selected from more than 70 submissions. They are organized in topical sections on machine learning, data mining, web mining, multi-agent systems, automatic reasoning, decision algorithms, multimedia, pattern recognition, and information security.
Compositions of Quadratic Forms
The aim of the Expositions is to present new and important developments in pure and applied mathematics. Well established in the community over more than two decades, the series offers a large library of mathematical works, including several important classics. The volumes supply thorough and detailed expositions of the methods and ideas essential to the topics in question. In addition, they convey their relationships to other parts of mathematics. The series is addressed to advanced readers interested in a thorough study of the subject. Editorial Board Lev Birbrair, Universidade Federal do Ceará, Fortaleza, Brasil Walter D. Neumann, Columbia University, New York, USA Markus J. Pflaum, Univ...
Business Information Systems
This book contains the refereed proceedings of the 11th International Conference on Business Information Systems, BIS 2008, held in Innsbruck, Austria, in May 2008. The 41 revised full papers were carefully reviewed and selected for inclusion in the book. The contributions cover research trends as well as current achievements and cutting edge developments in the area of modern business information systems. They are grouped in sections on business process management, service discovery and composition, ontologies, information retrieval, enterprise resource planning, interoperability, mobility and contexts, wikis and folksonomies, and rules and semantic queries.
Case-Based Reasoning Research and Development
This book constitutes the thoroughly refereed post-conference proceedings of the 20th International Conference on Case-Based Reasoning Research and Development (ICCBR 2012) held in Lyon, France, September 3-6, 2012. The 34 revised full papers presented were carefully selected from 51 submissions. The presentations and posters covered a wide range of CBR topics of interest to both practitioners and researchers, including foundational issues covering case representation, similarity, retrieval, and adaptation; conversational CBR recommender systems; multi-agent collaborative systems; data mining; time series analysis; Web applications; knowledge management; legal reasoning; healthcare systems and planning and scheduling systems.
Topics in Cryptology – CT-RSA 2007
This book constitutes the refereed proceedings of the Cryptographers' Track at the RSA Conference 2007, CT-RSA 2007, held in San Francisco, CA, USA in February 2007. The 25 revised full papers presented together with two invited papers were carefully reviewed and selected from 73 submissions. The papers are organized in topical sections.
Algorithmic Learning Theory
This book constitutes the proceedings of the 25th International Conference on Algorithmic Learning Theory, ALT 2014, held in Bled, Slovenia, in October 2014, and co-located with the 17th International Conference on Discovery Science, DS 2014. The 21 papers presented in this volume were carefully reviewed and selected from 50 submissions. In addition the book contains 4 full papers summarizing the invited talks. The papers are organized in topical sections named: inductive inference; exact learning from queries; reinforcement learning; online learning and learning with bandit information; statistical learning theory; privacy, clustering, MDL, and Kolmogorov complexity.
Cause Effect Pairs in Machine Learning
This book presents ground-breaking advances in the domain of causal structure learning. The problem of distinguishing cause from effect (“Does altitude cause a change in atmospheric pressure, or vice versa?”) is here cast as a binary classification problem, to be tackled by machine learning algorithms. Based on the results of the ChaLearn Cause-Effect Pairs Challenge, this book reveals that the joint distribution of two variables can be scrutinized by machine learning algorithms to reveal the possible existence of a “causal mechanism”, in the sense that the values of one variable may have been generated from the values of the other. This book provides both tutorial material on the st...
