Function Prole: Functional Sites of Proteins Discovered by Generalization of Amino Acid Sequences Takashi Ishikawa 1

Source URL: www.jsbi.org

Tutorial on Pra ti al Predi tion Theory for Classi ation John Langford jlhun h.net Toyota Te hnologi al Institute at Chi ago

Source URL: hunch.net

• Probability distributions
• Binomial distribution
• Normal distribution
• Generalization error
• Uniform distribution
• Limit of a function
• KullbackLeibler divergence

COMPLEXITY OF NILSYSTEMS AND SYSTEMS LACKING NILFACTORS BERNARD HOST, BRYNA KRA, AND ALEJANDRO MAASS Abstract. Nilsystems are a natural generalization of rotations and arise in various contexts, including in the study of

Source URL: www.math.northwestern.edu

Beating the Hold-Out: Bounds for K-fold and Progressive Cross-Validation
Avrim Blum

Source URL: hunch.net

• Statistics
• Machine learning
• Learning
• Artificial intelligence
• Design of experiments
• Hypothesis testing
• Nonparametric statistics
• Stability
• Generalization error
• Cross-validation
• Random sample consensus
• Statistical hypothesis testing

H¨older continuity for support measures of convex bodies Daniel Hug and Rolf Schneider Abstract. The support measures of a convex body are a common generalization of the curvature measures and the area measures. With re

Source URL: home.mathematik.uni-freiburg.de

Algebra and geometry through projective spaces Problems on the topology of projective spaces due: Tuesday, February 17 This is a set of problems on so-called weighted projective spaces, a generalization

Source URL: www.math.kth.se

 A generalization of F with abstraction

Source URL: gallium.inria.fr

A Generalization of Magic Squares with Applications to Digital Halftoning Boris Aronov1 , Tetsuo Asano2 , Yosuke Kikuchi3 , Subhas C. Nandy4 , Shinji Sasahara5 , and Takeaki Uno6 1

Source URL: cis.poly.edu

L. Sweeney. Achieving k-anonymity privacy protection using generalization and suppression. International Journal on Uncertainty, Fuzziness and Knowledge-based Systems, 10 (5), 2002; ACHIEVING k-ANONYMITY PRIVACY

Source URL: dataprivacylab.org