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» A Case Study for Learning from Imbalanced Data Sets
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PODS
2006
ACM
95views Database» more  PODS 2006»
16 years 1 months ago
Randomized computations on large data sets: tight lower bounds
We study the randomized version of a computation model (introduced in [9, 10]) that restricts random access to external memory and internal memory space. Essentially, this model c...
André Hernich, Martin Grohe, Nicole Schweik...
TKDE
2012
192views Formal Methods» more  TKDE 2012»
13 years 4 months ago
Discriminative Feature Selection by Nonparametric Bayes Error Minimization
Feature selection is fundamental to knowledge discovery from massive amount of high-dimensional data. In an effort to establish theoretical justification for feature selection al...
Shuang-Hong Yang, Bao-Gang Hu
87
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ETS
2000
IEEE
98views Hardware» more  ETS 2000»
15 years 1 months ago
The Mystery Project: Bridging the Gap On-line
This paper presents a case study of a web-based on-line collaborative academic writing project by students of English as a Foreign Language (EFL) at two Higher Education instituti...
Esther J. Dunbar, Susan Linklater, David Oakey
ICDE
2010
IEEE
226views Database» more  ICDE 2010»
16 years 1 months ago
Approximation Trade-Offs in Markovian Stream Processing: An Empirical Study
Abstract-- A large amount of the world's data is both sequential and imprecise. Such data is commonly modeled as Markovian streams; examples include words/sentences inferred f...
Julie Letchner, Christopher Re, Magdalena Balazins...
ICTAI
2007
IEEE
15 years 7 months ago
Establishing Logical Rules from Empirical Data
We review a method of generating logical rules, or axioms, from empirical data. This method, using closed set properties of formal concept analysis, has been previously described ...
John L. Pfaltz