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ECML
2005
Springer
15 years 9 months ago
Combining Bias and Variance Reduction Techniques for Regression Trees
Gradient Boosting and bagging applied to regressors can reduce the error due to bias and variance respectively. Alternatively, Stochastic Gradient Boosting (SGB) and Iterated Baggi...
Yuk Lai Suen, Prem Melville, Raymond J. Mooney
HPCC
2005
Springer
15 years 9 months ago
A Coarse Grained Parallel Algorithm for Closest Larger Ancestors in Trees with Applications to Single Link Clustering
Hierarchical clustering methods are important in many data mining and pattern recognition tasks. In this paper we present an efficient coarse grained parallel algorithm for Single...
Albert Chan, Chunmei Gao, Andrew Rau-Chaplin
ICPR
2002
IEEE
15 years 8 months ago
Uniformity Testing Using Minimal Spanning Tree
Testing for uniformity of multivariate data is the initial step in exploratory pattern analysis. We propose a new uniformity testing method, which first computes the maximum (sta...
Anil K. Jain, Xiaowei Xu, Tin Kam Ho, Fan Xiao
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PLDI
2006
ACM
15 years 9 months ago
An experimental analysis of self-adjusting computation
Dependence graphs and memoization can be used to efficiently update the output of a program as the input changes dynamically. Recent work has studied techniques for combining the...
Umut A. Acar, Guy E. Blelloch, Matthias Blume, Kan...
JOI
2007
38views more  JOI 2007»
15 years 3 months ago
A systematic analysis of Hirsch-type indices for journals
A theoretical model of the dependence of Hirsch-type indices on the number of publications and the average citation rate is tested successfully on empirical samples of journal h-i...
András Schubert, Wolfgang Glänzel