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ML
2006
ACM
163views Machine Learning» more  ML 2006»
15 years 4 months ago
Extremely randomized trees
Abstract This paper proposes a new tree-based ensemble method for supervised classification and regression problems. It essentially consists of randomizing strongly both attribute ...
Pierre Geurts, Damien Ernst, Louis Wehenkel
PAMI
2002
86views more  PAMI 2002»
15 years 4 months ago
Recognizing Mathematical Expressions Using Tree Transformation
We describe a robust and efficient system for recognizing typeset and handwritten mathematical notation. From a list of symbols with bounding boxes the system analyzes an expressio...
Richard Zanibbi, Dorothea Blostein, James R. Cordy
TCIAIG
2010
14 years 11 months ago
Monte Carlo Tree Search in Hex
Hex, the classic board game invented by Piet Hein in 1942 and independently by John Nash in 1948, has been a domain of artificial intelligence research since Claude Shannon's ...
Broderick Arneson, Ryan B. Hayward, Philip Henders...
ICML
2002
IEEE
16 years 5 months ago
Learning Decision Trees Using the Area Under the ROC Curve
ROC analysis is increasingly being recognised as an important tool for evaluation and comparison of classifiers when the operating characteristics (i.e. class distribution and cos...
César Ferri, José Hernández-O...
CIAC
2010
Springer
376views Algorithms» more  CIAC 2010»
16 years 1 months ago
Kernelization for Maximum Leaf Spanning Tree with Positive Vertex Weights
In this paper we consider a natural generalization of the well-known Max Leaf Spanning Tree problem. In the generalized Weighted Max Leaf problem we get as input an undirected co...
Bart Jansen