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COMBINATORICS
2007
90views more  COMBINATORICS 2007»
13 years 8 months ago
Distinguishability of Locally Finite Trees
The distinguishing number ∆(X) of a graph X is the least positive integer n for which there exists a function f : V (X) → {0, 1, 2, · · · , n−1} such that no nonidentity ...
Mark E. Watkins, Xiangqian Zhou
CG
2005
Springer
13 years 8 months ago
A polar-plane-based method for natural illumination of plants and trees
We introduce an illumination method for outdoor scenes containing plants and trees. Our method supports multiresolution plant and tree models based on random L-systems. The method...
Maria J. Vicent, Vicente Rosell, Roberto Viv&oacut...
CORR
2004
Springer
85views Education» more  CORR 2004»
13 years 8 months ago
A correct, precise and efficient integration of set-sharing, freeness and linearity for the analysis of finite and rational tree
It is well-known that freeness and linearity information positively interact with aliasing information, allowing both the precision and the efficiency of the sharing analysis of l...
Patricia M. Hill, Enea Zaffanella, Roberto Bagnara
CSDA
2004
81views more  CSDA 2004»
13 years 8 months ago
A note on split selection bias in classification trees
A common approach to split selection in classification trees is to search through all possible splits generated by predictor variables. A splitting criterion is then used to evalu...
Y.-S. Shih
ML
2010
ACM
159views Machine Learning» more  ML 2010»
13 years 7 months ago
Algorithms for optimal dyadic decision trees
Abstract A dynamic programming algorithm for constructing optimal dyadic decision trees was recently introduced, analyzed, and shown to be very effective for low dimensional data ...
Don R. Hush, Reid B. Porter