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» A Probabilistic Answer Type Model
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NIPS
2008
13 years 10 months ago
Hebbian Learning of Bayes Optimal Decisions
Uncertainty is omnipresent when we perceive or interact with our environment, and the Bayesian framework provides computational methods for dealing with it. Mathematical models fo...
Bernhard Nessler, Michael Pfeiffer, Wolfgang Maass
ECIR
2003
Springer
13 years 10 months ago
From Uncertain Inference to Probability of Relevance for Advanced IR Applications
Uncertain inference is a probabilistic generalisation of the logical view on databases, ranking documents according to their probabilities that they logically imply the query. For ...
Henrik Nottelmann, Norbert Fuhr
CIDR
2009
157views Algorithms» more  CIDR 2009»
13 years 9 months ago
Capturing Data Uncertainty in High-Volume Stream Processing
We present the design and development of a data stream system that captures data uncertainty from data collection to query processing to final result generation. Our system focuse...
Yanlei Diao, Boduo Li, Anna Liu, Liping Peng, Char...
CIKM
2009
Springer
13 years 9 months ago
Retrieval experiments using pseudo-desktop collections
Desktop search is an important part of personal information management (PIM). However, research in this area has been limited by the lack of shareable test collections, making cum...
Jinyoung Kim, W. Bruce Croft
ML
2006
ACM
121views Machine Learning» more  ML 2006»
13 years 8 months ago
Model-based transductive learning of the kernel matrix
This paper addresses the problem of transductive learning of the kernel matrix from a probabilistic perspective. We define the kernel matrix as a Wishart process prior and construc...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung