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AAAI
2008
15 years 9 months ago
Hidden Dynamic Probabilistic Models for Labeling Sequence Data
We propose a new discriminative framework, namely Hidden Dynamic Conditional Random Fields (HDCRFs), for building probabilistic models which can capture both internal and external...
Xiaofeng Yu, Wai Lam
LREC
2010
174views Education» more  LREC 2010»
15 years 8 months ago
Model Summaries for Location-related Images
At present there is no publicly available data set to evaluate the performance of different summarization systems on the task of generating location-related extended image caption...
Ahmet Aker, Robert J. Gaizauskas
JUCS
2008
105views more  JUCS 2008»
15 years 6 months ago
ITS Domain Modelling with Ontology
: Authoring ITS domain models is a difficult task requiring many skills. We explored whether modeling ontology reduces the problem by giving the students of an e-learning summer sc...
Brent Martin, Antonija Mitrovic, Pramuditha Surawe...
KBS
2002
136views more  KBS 2002»
15 years 6 months ago
Diagnostic reasoning based on means-end models: experiences and future prospects
Multilevel Flow Models (MFM) are graphical models of goals and functions of technical systems. MFM was invented by Morten Lind at the Technical University of Denmark and several n...
Jan Eric Larsson
CIKM
2009
Springer
15 years 4 months ago
Probabilistic models of ranking novel documents for faceted topic retrieval
Traditional models of information retrieval assume documents are independently relevant. But when the goal is retrieving diverse or novel information about a topic, retrieval mode...
Ben Carterette, Praveen Chandar