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» Domain Adaptation: A Small Sample Statistical Approach
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JMLR
2011
187views more  JMLR 2011»
14 years 6 months ago
Robust Statistics for Describing Causality in Multivariate Time Series
A widely agreed upon definition of time series causality inference, established in the seminal 1969 article of Clive Granger (1969), is based on the relative ability of the histor...
Florin Popescu
ECML
2007
Springer
15 years 6 months ago
Statistical Debugging Using Latent Topic Models
Abstract. Statistical debugging uses machine learning to model program failures and help identify root causes of bugs. We approach this task using a novel Delta-Latent-Dirichlet-Al...
David Andrzejewski, Anne Mulhern, Ben Liblit, Xiao...
APVIS
2010
15 years 26 days ago
Volume visualization based on statistical transfer-function spaces
It is a difficult task to design transfer functions for noisy data. In traditional transfer-function spaces, data values of different materials overlap. In this paper we introduce...
Martin Haidacher, Daniel Patel, Stefan Bruckner, A...
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ACL
2006
15 years 1 months ago
A Phrase-Based Statistical Model for SMS Text Normalization
Short Messaging Service (SMS) texts behave quite differently from normal written texts and have some very special phenomena. To translate SMS texts, traditional approaches model s...
AiTi Aw, Min Zhang, Juan Xiao, Jian Su
ML
2012
ACM
388views Machine Learning» more  ML 2012»
13 years 7 months ago
Statistical analysis of kernel-based least-squares density-ratio estimation
The ratio of two probability densities can be used for solving various machine learning tasks such as covariate shift adaptation (importance sampling), outlier detection (likeliho...
Takafumi Kanamori, Taiji Suzuki, Masashi Sugiyama