CISS
2011
IEEE
12 years 8 months ago
2011
IEEE
—The Coherent Approximation Principle (CAP) is a method for aggregating forecasts of probability from a group of judges by enforcing coherence with minimal adjustment. This paper...
JMLR
2006
13 years 4 months ago
2006
The Bradley-Terry model for obtaining individual skill from paired comparisons has been popular in many areas. In machine learning, this model is related to multi-class probabilit...
NIPS
2001
13 years 6 months ago
2001
This paper presents a method for obtaining class membership probability estimates for multiclass classification problems by coupling the probability estimates produced by binary c...
GECCO
2000
Springer
13 years 8 months ago
2000
Springer
This paper proposes a new crossover operator for searching over discrete probability spaces. The design of the operator is considered in the light of recent theoretical insights i...
DEXAW
1999
IEEE
13 years 9 months ago
1999
IEEE
This paper presents two metrics for the Nearest Neighbor Classifier that share the property of being adapted, i.e. learned, on a set of data. Both metrics can be used for similari...
ECML
2003
Springer
13 years 10 months ago
2003
Springer
Abstract. In this work we investigate several issues in order to improve the performance of probabilistic estimation trees (PETs). First, we derive a new probability smoothing that...
ECML
2004
Springer
13 years 10 months ago
2004
Springer
It has been observed that traditional decision trees produce poor probability estimates. In many applications, however, a probability estimation tree (PET) with accurate probabilit...
ICDM
2006
IEEE
13 years 11 months ago
2006
IEEE
Current outlier detection schemes typically output a numeric score representing the degree to which a given observation is an outlier. We argue that converting the scores into wel...
IPPS
2007
IEEE
13 years 11 months ago
2007
IEEE
The problem of counting specified combinations of a given set of variables arises in many statistical and data mining applications. To solve this problem, we introduce the PDtree...
KDD
2002
ACM
14 years 5 months ago
2002
ACM
Class membership probability estimates are important for many applications of data mining in which classification outputs are combined with other sources of information for decisi...