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» Embedding Heterogeneous Data Using Statistical Models
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134
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ICANN
2009
Springer
15 years 10 months ago
Learning Features by Contrasting Natural Images with Noise
Abstract. Modeling the statistical structure of natural images is interesting for reasons related to neuroscience as well as engineering. Currently, this modeling relies heavily on...
Michael Gutmann, Aapo Hyvärinen
CIDR
2009
157views Algorithms» more  CIDR 2009»
15 years 4 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...
141
Voted
DILS
2004
Springer
15 years 8 months ago
Links and Paths through Life Sciences Data Sources
An abundance of biological data sources contain data on classes of scientific entities, such as genes and sequences. Logical relationships between scientific objects are implemen...
Zoé Lacroix, Hyma Murthy, Felix Naumann, Lo...
127
Voted
ICDM
2008
IEEE
96views Data Mining» more  ICDM 2008»
15 years 10 months ago
Filling in the Blanks - Krimp Minimisation for Missing Data
Many data sets are incomplete. For correct analysis of such data, one can either use algorithms that are designed to handle missing data or use imputation. Imputation has the bene...
Jilles Vreeken, Arno Siebes
JSAI
2005
Springer
15 years 9 months ago
Learning Stochastic Logical Automaton
Abstract. This paper is concerned with algorithms for the logical generalisation of probabilistic temporal models from examples. The algorithms combine logic and probabilistic mode...
Hiroaki Watanabe, Stephen Muggleton