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ICML
2007
IEEE
14 years 9 months ago
Dirichlet aggregation: unsupervised learning towards an optimal metric for proportional data
Proportional data (normalized histograms) have been frequently occurring in various areas, and they could be mathematically abstracted as points residing in a geometric simplex. A...
Hua-Yan Wang, Hongbin Zha, Hong Qin
ICML
2006
IEEE
14 years 9 months ago
Cost-sensitive learning with conditional Markov networks
There has been a recent, growing interest in classification and link prediction in structured domains. Methods such as conditional random fields and relational Markov networks sup...
Prithviraj Sen, Lise Getoor
ICML
2005
IEEE
14 years 9 months ago
Coarticulation: an approach for generating concurrent plans in Markov decision processes
We study an approach for performing concurrent activities in Markov decision processes (MDPs) based on the coarticulation framework. We assume that the agent has multiple degrees ...
Khashayar Rohanimanesh, Sridhar Mahadevan
WWW
2009
ACM
14 years 9 months ago
Personalized recommendation on dynamic content using predictive bilinear models
In Web-based services of dynamic content (such as news articles), recommender systems face the difficulty of timely identifying new items of high-quality and providing recommendat...
Wei Chu, Seung-Taek Park
WWW
2006
ACM
14 years 9 months ago
DiTaBBu: automating the production of time-based hypermedia content
We present DiTaBBu, Digital Talking Books Builder, a framework for automatic production of time-based hypermedia for the Web, focusing on the Digital Talking Books domain. Deliver...
Carlos Duarte, Luís Carriço, Rui Lop...