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» On Kernel Methods for Relational Learning
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153
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GFKL
2005
Springer
125views Data Mining» more  GFKL 2005»
15 years 9 months ago
Towards Structure-sensitive Hypertext Categorization
Abstract. Hypertext categorization is the task of automatically assigning category labels to hypertext units. Comparable to text categorization it stays in the area of function lea...
Alexander Mehler, Rüdiger Gleim, Matthias Deh...
186
Voted
DATAMINE
2010
161views more  DATAMINE 2010»
15 years 29 days ago
Predicting labels for dyadic data
: In dyadic prediction, the input consists of a pair of items (a dyad), and the goal is to predict the value of an observation related to the dyad. Special cases of dyadic predicti...
Aditya Krishna Menon, Charles Elkan
145
Voted
BMCBI
2004
140views more  BMCBI 2004»
15 years 3 months ago
What can we learn from noncoding regions of similarity between genomes?
Background: In addition to known protein-coding genes, large amounts of apparently non-coding sequence are conserved between the human and mouse genomes. It seems reasonable to as...
Thomas A. Down, Tim J. P. Hubbard
135
Voted
IDA
2007
Springer
15 years 3 months ago
Removing biases in unsupervised learning of sequential patterns
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
Yoav Horman, Gal A. Kaminka
150
Voted
SIGIR
2011
ACM
14 years 6 months ago
Learning online discussion structures by conditional random fields
Online forum discussions are emerging as valuable information repository, where knowledge is accumulated by the interaction among users, leading to multiple threads with structure...
Hongning Wang, Chi Wang, ChengXiang Zhai, Jiawei H...