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ICPR
2002
IEEE
16 years 7 months ago
Boosting and Structure Learning in Dynamic Bayesian Networks for Audio-Visual Speaker Detection
Bayesian networks are an attractive modeling tool for human sensing, as they combine an intuitive graphical representation with ef?cient algorithms for inference and learning. Ear...
Tanzeem Choudhury, James M. Rehg, Vladimir Pavlovi...
ECIR
2009
Springer
16 years 3 months ago
Integrating Proximity to Subjective Sentences for Blog Opinion Retrieval
Opinion finding is a challenging retrieval task, where it has been shown that it is especially difficult to improve over a strongly performing topic-relevance baseline. In this pa...
Rodrygo L. T. Santos, Ben He, Craig Macdonald, Iad...
SIGIR
2010
ACM
15 years 10 months ago
Linking wikipedia to the web
We investigate the task of finding links from Wikipedia pages to external web pages. Such external links significantly extend the information in Wikipedia with information from ...
Rianne Kaptein, Pavel Serdyukov, Jaap Kamps
AAAI
2007
15 years 9 months ago
A Randomized String Kernel and Its Application to RNA Interference
String kernels directly model sequence similarities without the necessity of extracting numerical features in a vector space. Since they better capture complex traits in the seque...
Shibin Qiu, Terran Lane, Ljubomir J. Buturovic
EMNLP
2008
15 years 8 months ago
Stacking Dependency Parsers
We explore a stacked framework for learning to predict dependency structures for natural language sentences. A typical approach in graph-based dependency parsing has been to assum...
André F. T. Martins, Dipanjan Das, Noah A. ...