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» Robust Estimators under the Imprecise Dirichlet Model
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AIRS
2009
Springer
14 years 2 months ago
A Latent Dirichlet Framework for Relevance Modeling
Relevance-based language models operate by estimating the probabilities of observing words in documents relevant (or pseudo relevant) to a topic. However, these models assume that ...
Viet Ha-Thuc, Padmini Srinivasan
ICML
2008
IEEE
14 years 8 months ago
Multi-task compressive sensing with Dirichlet process priors
Compressive sensing (CS) is an emerging field that, under appropriate conditions, can significantly reduce the number of measurements required for a given signal. In many applicat...
Yuting Qi, Dehong Liu, David B. Dunson, Lawrence C...
AAAI
2006
13 years 9 months ago
Multi-Conditional Learning: Generative/Discriminative Training for Clustering and Classification
This paper presents multi-conditional learning (MCL), a training criterion based on a product of multiple conditional likelihoods. When combining the traditional conditional proba...
Andrew McCallum, Chris Pal, Gregory Druck, Xuerui ...
TWC
2008
145views more  TWC 2008»
13 years 7 months ago
Robust Optimization Models for Energy-Limited Wireless Sensor Networks under Distance Uncertainty
The distance between nodes in a wireless sensor network (WSN) is an important factor in the performance that can be extracted from the network for many tasks. However, the distanc...
Wei Ye, Fernando Ordóñez
WIDM
2003
ACM
14 years 25 days ago
Answering imprecise database queries: a novel approach
A growing number of databases especially those published on the Web are becoming available to external users. Users of these databases are provided simple form-based query interfa...
Ullas Nambiar, Subbarao Kambhampati