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BMCBI
2006
165views more  BMCBI 2006»
15 years 6 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...
ECML
2006
Springer
15 years 10 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 6 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
16 years 1 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»
15 years 1 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