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VMV
2008
107views Visualization» more  VMV 2008»
15 years 7 months ago
Learning with Few Examples using a Constrained Gaussian Prior on Randomized Trees
Machine learning with few training examples always leads to over-fitting problems, whereas human individuals are often able to recognize difficult object categories from only one ...
Erik Rodner, Joachim Denzler
TPLP
2008
89views more  TPLP 2008»
15 years 6 months ago
Theory of finite or infinite trees revisited
We present in this paper a first-order axiomatization of an extended theory T of finite or infinite trees, built on a signature containing an infinite set of function symbols and ...
Khalil Djelloul, Thi-Bich-Hanh Dao, Thom W. Fr&uum...
JMLR
2010
108views more  JMLR 2010»
15 years 1 months ago
Tree Decomposition for Large-Scale SVM Problems
To handle problems created by large data sets, we propose a method that uses a decision tree to decompose a given data space and train SVMs on the decomposed regions. Although the...
Fu Chang, Chien-Yang Guo, Xiao-Rong Lin, Chi-Jen L...
AICCSA
2008
IEEE
842views Hardware» more  AICCSA 2008»
15 years 8 months ago
Intelligent heart disease prediction system using data mining techniques
The healthcare industry collects huge amounts of healthcare data which, unfortunately, are not "mined" to discover hidden information for effective decision making. Disc...
Sellappan Palaniappan, Rafiah Awang
TYPES
2004
Springer
15 years 11 months ago
Exploring the Regular Tree Types
In this paper we use the Epigram language to define the universe of regular tree types—closed under empty, unit, sum, product and least fixpoint. We then present a generic deci...
Peter Morris, Thorsten Altenkirch, Conor McBride