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ML
2002
ACM
163views Machine Learning» more  ML 2002»
13 years 9 months ago
Structural Modelling with Sparse Kernels
A widely acknowledged drawback of many statistical modelling techniques, commonly used in machine learning, is that the resulting model is extremely difficult to interpret. A numb...
Steve R. Gunn, Jaz S. Kandola
IAJIT
2010
96views more  IAJIT 2010»
13 years 7 months ago
A Data Mashup for Dynamic Composition of Adaptive Courses
: This paper presents a novel adaptive course composition system that based on mashing up learning content in a web application. The system includes three major components, static ...
Mohammed Al-Zoube, Baha Khasawneh
SOCIALCOM
2010
13 years 7 months ago
Using Text Analysis to Understand the Structure and Dynamics of the World Wide Web as a Multi-Relational Graph
A representation of the World Wide Web as a directed graph, with vertices representing web pages and edges representing hypertext links, underpins the algorithms used by web search...
Harish Sethu, Alexander Yates
ACL
2012
11 years 11 months ago
Selective Sharing for Multilingual Dependency Parsing
We present a novel algorithm for multilingual dependency parsing that uses annotations from a diverse set of source languages to parse a new unannotated language. Our motivation i...
Tahira Naseem, Regina Barzilay, Amir Globerson
ICC
2007
IEEE
115views Communications» more  ICC 2007»
14 years 3 months ago
Distributed Minimum-Cost Clustering Protocol for UnderWater Sensor Networks (UWSNs)
—In this paper, we study the node clustering problem in UnderWater Sensor Networks (UWSNs). We formulate the problem into a cluster-centric cost-based optimization problem with a...
Pu Wang, Cheng Li, Jun Zheng