Kategoria BISAC: Computers >> Artificial Intelligence - General

This book presents recent advances (from 2008 to 2012) concerning use of the Naive Bayes model in unsupervised word sense disambiguation (WSD).

While WSD, in general, has a number of important applications in various fields of artificial intelligence (information retrieval, text processing, machine translation, message understanding, man-machine communication etc.), unsupervised WSD is considered important because it is language-independent and does not require previously annotated corpora. The Naive Bayes model has been widely used in supervised WSD, but its use in unsupervised WSD...

Speech Dereverberation gathers together an overview, a mathematical formulation of the problem and the state-of-the-art solutions for dereverberation.

Speech Dereverberation presents current approaches to the problem of reverberation. It provides a review of topics in room acoustics and also describes performance measures for dereverberation. The algorithms are then explained with mathematical analysis and examples that enable the reader to see the strengths and weaknesses of the various techniques, as well as giving an understanding of the questions still to be addressed. Techniques...

The ever-growing popularity of Google over the recent decade has required a specific method of man-machine communication: human query should be short, whereas the machine answer may take a form of a wide range of documents. This type of communication has triggered a rapid development in the domain of Information Extraction, aimed at providing the asker with a more precise information.

The recent success of intelligent personal assistants supporting users in searching or even extracting information and answers from large collections of electronic documents signals the onset of a new era...

Das kompakte einbandige Werk bietet eine aktuelle Stoffauswahl mit Themen wie Wahrscheinlichkeitsrechnung und Statistik, dafur wird auf uberflussige Beweise verzichtet. Die Autoren prasentieren den gesamten Stoff in einem anschaulichen, aufgelockerten Stil mit Zusammenfassungen und Verstandnistests zu jedem Kapitel, Randnotizen fur die schnelle Orientierung, Beispielen und Anwendungen sowie zahlreichen Ubungsaufgaben mit Losungen. Erganzendes Material wie Folien und kommentierte Losungen stehen im Internet zum Download bereit.

There are several key ingredients common to the various forms of model-based reasoning considered in this book. The term model comprises both internal and external representations. The models are intended as interpretations of target physical systems, processes, phenomena, or situations and are retrieved or constructed on the basis of potentially satisfying salient constraints of the target domain. The book s contributors are researchers active in the area of creative reasoning in science and technology.

Analyzing Interactions in CSCL: Methodology, Approaches, and Issues deepens the understanding of ways to document and analyze interactions in CSCL and informs the design of the next generation of CSCL tools. It provides researchers with several alternative methodologies, theoretical underpinnings of the methods used, data indicating how the method worked, guidance for using the methods, implications for understanding collaborative processes and their effect on learning outcomes and implications for design.
CSCL research tends to span across several disciplines such as...

Recommender systems are one of the recent inventions to deal with the ever-growing information overload in relation to the selection of goods and services in a global economy. Collaborative Filtering (CF) is one of the most popular techniques in recommender systems. The CF recommends items to a target user based on the preferences of a set of similar users known as the neighbors, generated from a database made up of the preferences of past users. In the absence of these ratings, trust between the users could be used to choose the neighbor for recommendation making. Better recommendations...