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ICML
2002
IEEE
16 years 3 months ago
Non-Disjoint Discretization for Naive-Bayes Classifiers
Previous discretization techniques have discretized numeric attributes into disjoint intervals. We argue that this is neither necessary nor appropriate for naive-Bayes classifiers...
Ying Yang, Geoffrey I. Webb
ICML
2001
IEEE
16 years 3 months ago
Smoothed Bootstrap and Statistical Data Cloning for Classifier Evaluation
This work is concerned with the estimation of a classifier's accuracy. We first review some existing methods for error estimation, focusing on cross-validation and bootstrap,...
Gregory Shakhnarovich, Ran El-Yaniv, Yoram Baram
ALT
2008
Springer
15 years 11 months ago
Exploiting Cluster-Structure to Predict the Labeling of a Graph
Abstract. The nearest neighbor and the perceptron algorithms are intuitively motivated by the aims to exploit the “cluster” and “linear separation” structure of the data to...
Mark Herbster
118
Voted
ECTEL
2009
Springer
15 years 9 months ago
A Comparison of Paper-Based and Online Annotations in the Workplace
While reading documents, people commonly make annotations: they underline or highlight text and write comments in the margin. Making annotations during reading activities has been ...
Ricardo Kawase, Eelco Herder, Wolfgang Nejdl
MLDM
2009
Springer
15 years 9 months ago
Improved Comprehensibility and Reliability of Explanations via Restricted Halfspace Discretization
A number of two-class classification methods first discretize each attribute of two given training sets and then construct a propositional DNF formula that evaluates to True for ...
Klaus Truemper