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52
A Generalised Regression algorithm for web page categorisation
"... This paper proposes an information system that classifies web pages according a taxonomy, which is mainly used from seven search engines/directories. The proposed classifier is a fourlayer Generalised Regression Neural Network (GRNN) that aims to perform the information segmentation according to inf ..."
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This paper proposes an information system that classifies web pages according a taxonomy, which is mainly used from seven search engines/directories. The proposed classifier is a fourlayer Generalised Regression Neural Network (GRNN) that aims to perform the information segmentation according
Utilizing Human Categorisation Ability for Knowledge
, 2004
"... Introduction In 1998 and the years following, the Google search engine took the world wide web by storm, providing high-quality search results that were clearly superior to other commercial search engines at the time (Brin and Page, 1998). The algorithm that provided these high-quality search resul ..."
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Introduction In 1998 and the years following, the Google search engine took the world wide web by storm, providing high-quality search results that were clearly superior to other commercial search engines at the time (Brin and Page, 1998). The algorithm that provided these high-quality search
SVM Regression for Web Prefetching and Caching
"... The World Wide Web is a distributed internet system, which provides a many type of services and facilities for users. It increase over the past few year at a very rapidly rate, due to which the amount of traffic over the internet is increasing. As a result, the network performance has now become ver ..."
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very slow. The solution of this is to reduce the response time perceived by users. The web prefetching is an effective user prediction technique that extracts useful knowledge from user request sequence. It makes a prediction of the web pages that the user is likely to request in the near future. Web
First steps in programming: A rationale for attention investment models.
- In Proc. HCC, IEEE
, 2002
"... Abstract Research into the cognitive aspects of programming originated in the study of professional programmers (whether experts or students). Even "end-user" programmers What is Programming? Goodell's excellent website devoted to end user programming Programming is in fact seld ..."
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Cited by 110 (16 self)
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language? What aspect of programming languages makes them different to other kinds of computer usage? Consider some of the examples presented above. A web page generated by a Javascript script or Server Side Include macro, when seen in a browser, may appear indistinguishable from a web page written
MODELING AND AUTOMATED BLACKBOX REGRESSION TESTING OF WEB APPLICATIONS
"... Web applications are nowadays at the heart of the business world. All corporate companies and big institutions have very busy e-commerce web sites that host a major part of their businesses. With this great emergence of web applications, techniques for maintaining their high quality attributes shoul ..."
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Cited by 1 (0 self)
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with a specific part of a web application. While some papers model and test the server side programs of the application, others model and analyze the navigation between pages as seen by the user, and yet others deal with analyzing the architectural environment of the web application. Motivated
Web Page Rank Prediction with PCA and EM Clustering
"... Abstract. In this paper we describe learning algorithms for Web page rank prediction. We consider linear regression models and combinations of regression with probabilistic clustering and Principal Components Analysis (PCA). These models are learned from time-series data sets and can predict the ran ..."
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Cited by 1 (0 self)
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the ranking of a set of Web pages in some future time. The first algorithm uses separate linear regression models. This is further extended by applying probabilistic clustering based on the EM algorithm. Clustering allows for the Web pages to be grouped together by fitting a mixture of regression models. A
Relational Learning: A Web-Page Classification Viewpoint
"... This paper organises some general observations on Relational Learning which arose from research into classifying Web pages. The motivation for this piece is to contribute towards developing a broad overview of the field, so as to understand which aspects of Relational Learning are common to all doma ..."
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This paper organises some general observations on Relational Learning which arose from research into classifying Web pages. The motivation for this piece is to contribute towards developing a broad overview of the field, so as to understand which aspects of Relational Learning are common to all
An Improved User Browsing Behavior Prediction using Regression Analysis on Web Logs
"... Web usage mining is widely used to discover the usage patterns from web log files. It deals with web log data which are taken from web servers, proxy server or client’s cache. By analyzing user’s browsing behavior, next web page prediction can be made. Various types of mining algorithms proposed ove ..."
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over the years based on different techniques. But prediction of future request of the user mainly concern with its accuracy and efficiency. In this paper, we have proposed a new model for predicting the next web page. K-means clustering and Regression Analysis algorithms are used to predict the future
Supporting Highly Manageable Web Services
- PROCEEDINGS OF THE 6TH INTERNATIONAL WORLD WIDE WEB CONFERENCE
, 1997
"... This paper focuses on the management aspects of Web service provision. We argue that support for manageability has to be considered at the design stage if services are to be capable of delivering high levels of quality of service for their users. Examples of the problems caused by lack of managea ..."
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Cited by 11 (3 self)
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of manageability include maintenance operations that necessitate service downtime, or difficulties in ensuring consistency of information. We categorise management issues into those concerning a site as a whole and those pertaining to individual services. Our approach to site management supports the arbitrary
[Preprint] – page 1 Realising Dextrous Manipulation with Structured Manifolds using Unsupervised Kernel Regression with Structural Hints
"... Abstract — Dextrous manipulation based on techniques for non-linear dimension reduction and manifold learning is an upcoming field of research and offers promising opportunities. Still, many problems remain unsolved and researchers are seeking for new representations that combine efficient learning ..."
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algorithm Unsupervised Kernel Regression (UKR) that allow to incorporate structural hints about the training data into the learning yielding task-related structures in the manifold’s latent space. We present the resulting manifold representation and a simplified controller using this representation
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