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BMCBI
2010
190views more  BMCBI 2010»
15 years 6 months ago
Sample size and statistical power considerations in high-dimensionality data settings: a comparative study of classification alg
Background: Data generated using `omics' technologies are characterized by high dimensionality, where the number of features measured per subject vastly exceeds the number of...
Yu Guo, Armin Graber, Robert N. McBurney, Raji Bal...
TAMC
2010
Springer
15 years 11 months ago
Streaming Algorithms for Some Problems in Log-Space
Abstract. In this paper, we give streaming algorithms for some problems which are known to be in deterministic log-space, when the number of passes made on the input is unbounded. ...
Ajesh Babu, Nutan Limaye, Girish Varma
GECCO
2009
Springer
15 years 11 months ago
The sensitivity of HyperNEAT to different geometric representations of a problem
HyperNEAT, a generative encoding for evolving artificial neural networks (ANNs), has the unique and powerful ability to exploit the geometry of a problem (e.g., symmetries) by enc...
Jeff Clune, Charles Ofria, Robert T. Pennock
STOC
2000
ACM
174views Algorithms» more  STOC 2000»
15 years 11 months ago
Noise-tolerant learning, the parity problem, and the statistical query model
We describe a slightly subexponential time algorithm for learning parity functions in the presence of random classification noise, a problem closely related to several cryptograph...
Avrim Blum, Adam Kalai, Hal Wasserman
KDD
2004
ACM
173views Data Mining» more  KDD 2004»
16 years 7 months ago
A microeconomic data mining problem: customer-oriented catalog segmentation
The microeconomic framework for data mining [7] assumes that an enterprise chooses a decision maximizing the overall utility over all customers where the contribution of a custome...
Martin Ester, Rong Ge, Wen Jin, Zengjian Hu