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AAAI
2011
14 years 6 months ago
Mean Field Inference in Dependency Networks: An Empirical Study
Dependency networks are a compelling alternative to Bayesian networks for learning joint probability distributions from data and using them to compute probabilities. A dependency ...
Daniel Lowd, Arash Shamaei
AIEDAM
2011
15 years 1 months ago
Discovering implicit constraints in design
In familiar design domains, expert designers are able to quickly focus on “good designs”, based on constraints they have learned while exploring the design space. This ability ...
Madan Mohan Dabbeeru, Amitabha Mukerjee
EDM
2011
197views Data Mining» more  EDM 2011»
14 years 6 months ago
Towards Improvements on Domain-independent Measurements for Collaborative Assessment
Assessment on collaborative student behavior is a longstanding issue in user modeling. Nowadays thanks to the proliferation of online learning and the vast amount of data on studen...
Antonio R. Anaya, Jesus Boticario
ICPR
2008
IEEE
16 years 7 months ago
Recognition of books by verification and retraining
The problem of character recognition in a book should be formulated significantly different from that of a single page or word. An ideal approach to design such a recognizer is to...
C. V. Jawahar, N. V. Neeba
MLDM
2009
Springer
16 years 1 months ago
An Evidence-Driven Probabilistic Inference Framework for Semantic Image Understanding
This work presents an image analysis framework driven by emerging evidence and constrained by the semantics expressed in an ontology. Human perception, apart from visual stimulus a...
Spiros Nikolopoulos, Georgios Th. Papadopoulos, Io...