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162
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BMCBI
2006
165views more  BMCBI 2006»
15 years 5 months ago
Improved variance estimation of classification performance via reduction of bias caused by small sample size
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
Ulrika Wickenberg-Bolin, Hanna Göransson, M&a...
116
Voted
ECML
2006
Springer
15 years 8 months ago
Why Is Rule Learning Optimistic and How to Correct It
Abstract. In their search through a huge space of possible hypotheses, rule induction algorithms compare estimations of qualities of a large number of rules to find the one that ap...
Martin Mozina, Janez Demsar, Jure Zabkar, Ivan Bra...
CSDA
2006
60views more  CSDA 2006»
15 years 5 months ago
Numerical integration in logistic-normal models
Marginal maximum likelihood estimation is commonly used to estimate logistic-normal models. In this approach, the contribution of random effects to the likelihood is represented a...
Jorge González, Francis Tuerlinckx, Paul De...
DAC
2009
ACM
15 years 11 months ago
Accurate temperature estimation using noisy thermal sensors
Multicore SOCs rely on runtime thermal measurements using on-chip sensors for DTM. In this paper we address the problem of estimating the actual temperature of on-chip thermal sen...
Yufu Zhang, Ankur Srivastava
CORR
2011
Springer
234views Education» more  CORR 2011»
14 years 12 months ago
Mutual Information, Relative Entropy, and Estimation in the Poisson Channel
Let X be a non-negative random variable and let the conditional distribution of a random variable Y , given X, be Poisson(γ · X), for a parameter γ ≥ 0. We identify a natural...
Rami Atar, Tsachy Weissman