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PKDD
2010
Springer
169views Data Mining» more  PKDD 2010»
15 years 11 days ago
Efficient and Numerically Stable Sparse Learning
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
Sihong Xie, Wei Fan, Olivier Verscheure, Jiangtao ...
131
Voted
KDD
1995
ACM
109views Data Mining» more  KDD 1995»
15 years 6 months ago
An Iterative Improvement Approach for the Discretization of Numeric Attributes in Bayesian Classifiers
The Bayesianclassifier is a simple approachto classification that producesresults that are easy for people to interpret. In many cases, the Bayesianclassifieris at leastasaccurate...
Michael J. Pazzani
128
Voted
ADCM
1998
133views more  ADCM 1998»
15 years 2 months ago
Numerical exploitation of symmetry in integral equations
: Linear integral operators describing physical problems on symmetric domains often are equivariant, which means that they commute with certain symmetries, i.e., with a group of or...
Eugene L. Allgower, Kurt Georg
ISSAC
1995
Springer
174views Mathematics» more  ISSAC 1995»
15 years 6 months ago
Numerical Uniformization of Hyperelliptic Curves
Abstract. In this paper we derive an algorithm that computes, for a given algebraic hyperelliptic plane curve C of genus p, p > 1, defined by a polynomial y2 = (x−λ1) · · ...
Klaus-Dieter Semmler, Mika Seppälä
94
Voted
FOCM
2010
100views more  FOCM 2010»
15 years 1 months ago
Higher-Order Averaging, Formal Series and Numerical Integration I: B-series
We show how B-series may be used to derive in a systematic way the analytical expressions of the high-order stroboscopic averaged equations that approximate the slow dynamics of h...
P. Chartier, A. Murua, J. M. Sanz-Serna