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KDD
2004
ACM
154views Data Mining» more  KDD 2004»
15 years 10 months ago
Diagnosing extrapolation: tree-based density estimation
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
Giles Hooker
BMCBI
2010
110views more  BMCBI 2010»
14 years 10 months ago
Missing value imputation for epistatic MAPs
Background: Epistatic miniarray profiling (E-MAPs) is a high-throughput approach capable of quantifying aggravating or alleviating genetic interactions between gene pairs. The dat...
Colm Ryan, Derek Greene, Gerard Cagney, Padraig Cu...
CIE
2010
Springer
15 years 1 months ago
How Powerful Are Integer-Valued Martingales?
In the theory of algorithmic randomness, one of the central notions is that of computable randomness. An infinite binary sequence X is computably random if no recursive martingale...
Laurent Bienvenu, Frank Stephan, Jason Teutsch
AVI
2008
15 years 9 days ago
The in-context slider: a fluid interface component for visualization and adjustment of values while authoring
As information environments grow in complexity, we yearn for simple interfaces that streamline human cognition and effort. Users need to perform complex operations on thousands of...
Andrew Webb, Andruid Kerne
BMCBI
2008
193views more  BMCBI 2008»
14 years 10 months ago
Missing value imputation for microarray gene expression data using histone acetylation information
Background: It is an important pre-processing step to accurately estimate missing values in microarray data, because complete datasets are required in numerous expression profile ...
Qian Xiang, Xianhua Dai, Yangyang Deng, Caisheng H...