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AAAI
2012
13 years 9 months ago
A Search Algorithm for Latent Variable Models with Unbounded Domains
This paper concerns learning and prediction with probabilistic models where the domain sizes of latent variables have no a priori upper-bound. Current approaches represent prior d...
Michael Chiang, David Poole
AAAI
2012
13 years 9 months ago
Sense Sentiment Similarity: An Analysis
This paper describes an emotion-based approach to acquire sentiment similarity of word pairs with respect to their senses. Sentiment similarity indicates the similarity between tw...
Mitra Mohtarami, Hadi Amiri, Man Lan, Thanh Phu Tr...
IPPS
2007
IEEE
16 years 25 days ago
Leakage Energy Reduction in Value Predictors through Static Decay
As process technology advances toward deep submicron (below 90nm), static power becomes a new challenge to address for energy-efficient high performance processors, especially for...
Juan M. Cebrian, Juan L. Aragón, José...
AAAI
2010
15 years 8 months ago
Multi-Task Active Learning with Output Constraints
Many problems in information extraction, text mining, natural language processing and other fields exhibit the same property: multiple prediction tasks are related in the sense th...
Yi Zhang 0010
CCE
2006
15 years 6 months ago
Bayesian-based on-line applicability evaluation of neural network models in modeling automotive paint spray operations
The neural network (NN) models well trained and validated by the same data may exhibit noticeably different predictabilities in applications. This is mainly due to the fact that t...
Jia Li, Yinlun Huang