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» Microarray results: how accurate are they
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BC
2007
107views more  BC 2007»
13 years 10 months ago
Decoding spike train ensembles: tracking a moving stimulus
We consider the issue of how to read out the information from nonstationary spike train ensembles. Based on the theory of censored data in statistics, we propose a ‘censored’ m...
Enrico Rossoni, Jianfeng Feng
BMCBI
2008
154views more  BMCBI 2008»
13 years 10 months ago
Sequence based residue depth prediction using evolutionary information and predicted secondary structure
Background: Residue depth allows determining how deeply a given residue is buried, in contrast to the solvent accessibility that differentiates between buried and solvent-exposed ...
Hua Zhang, Tuo Zhang, Ke Chen 0003, Shiyi Shen, Ji...
IJON
2006
161views more  IJON 2006»
13 years 10 months ago
Evolving hybrid ensembles of learning machines for better generalisation
Ensembles of learning machines have been formally and empirically shown to outperform (generalise better than) single predictors in many cases. Evidence suggests that ensembles ge...
Arjun Chandra, Xin Yao
CORR
2007
Springer
95views Education» more  CORR 2007»
13 years 10 months ago
Slope One Predictors for Online Rating-Based Collaborative Filtering
Rating-based collaborative filtering is the process of predicting how a user would rate a given item from other user ratings. We propose three related slope one schemes with pred...
Daniel Lemire, Anna Maclachlan
INFFUS
2006
142views more  INFFUS 2006»
13 years 10 months ago
Moderate diversity for better cluster ensembles
Adjusted Rand index is used to measure diversity in cluster ensembles and a diversity measure is subsequently proposed. Although the measure was found to be related to the quality...
Stefan Todorov Hadjitodorov, Ludmila I. Kuncheva, ...