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» Lessons Learned from Applying AI to the Web
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AAAI
2007
13 years 10 months ago
Biomind ArrayGenius and GeneGenius: Web Services Offering Microarray and SNP Data Analysis via Novel Machine Learning Methods
Analysis of postgenomic biological data (such as microarray and SNP data) is a subtle art and science, and the statistical methods most commonly utilized sometimes prove inadequat...
Ben Goertzel, Cassio Pennachin, Lúcio de So...
ICGI
2004
Springer
14 years 1 months ago
Learning Node Selecting Tree Transducer from Completely Annotated Examples
Abstract. A base problem in Web information extraction is to find appropriate queries for informative nodes in trees. We propose to learn queries for nodes in trees automatically ...
Julien Carme, Aurélien Lemay, Joachim Niehr...
SIGUCCS
2003
ACM
14 years 1 months ago
Integrating WebCT with diverse campus systems
The University of Delaware has a powerful legacy SIS system. The University plans to replace this system in 2004-05. In the meantime, we have populated WebCT rosters using custom ...
Jeff Whisler
MOBILITY
2009
ACM
14 years 16 days ago
Lively for Qt: a platform for mobile web applications
The convergence of desktop, mobile and web application development has resulted in new types of software systems. These new systems are built to leverage the World Wide Web, and t...
Tommi Mikkonen, Antero Taivalsaari, Mikko Terho
WWW
2008
ACM
14 years 8 months ago
Why web 2.0 is good for learning and for research: principles and prototypes
The term "Web 2.0" is used to describe applications that distinguish themselves from previous generations of software by a number of principles. Existing work shows that...
Carsten Ullrich, Kerstin Borau, Heng Luo, Xiaohong...