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145
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ICDM
2010
IEEE
228views Data Mining» more  ICDM 2010»
15 years 1 months ago
Multi-label Feature Selection for Graph Classification
Nowadays, the classification of graph data has become an important and active research topic in the last decade, which has a wide variety of real world applications, e.g. drug acti...
Xiangnan Kong, Philip S. Yu
156
Voted
UIST
2009
ACM
15 years 10 months ago
Overview based example selection in end user interactive concept learning
Interaction with large unstructured datasets is difficult because existing approaches, such as keyword search, are not always suited to describing concepts corresponding to the di...
Saleema Amershi, James Fogarty, Ashish Kapoor, Des...
129
Voted
ICCS
2007
Springer
15 years 10 months ago
Learning Common Outcomes of Communicative Actions Represented by Labeled Graphs
We build a generic methodology based on learning and reasoning to detect specific attitudes of human agents and patterns of their interactions. Human attitudes are determined in te...
Boris Galitsky, Boris Kovalerchuk, Sergei O. Kuzne...
116
Voted
CHI
2009
ACM
16 years 4 months ago
Out from behind the curtain: learning from a human auditory display
In this paper we describe an approach to gathering design requirements for a software auditory display by analyzing user interactions with an ideal partner: a talking human contro...
Peter Parente, Gary Bishop
141
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EICS
2010
ACM
15 years 8 months ago
Using ensembles of decision trees to automate repetitive tasks in web applications
Web applications such as web-based email, spreadsheets and form filling applications have become ubiquitous. However, many of the tasks that users try to accomplish with such web ...
Zachary Bray, Per Ola Kristensson