CISS

2011

IEEE

12 years 6 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 2 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 4 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 6 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 7 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 7 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 8 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 8 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 9 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 3 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...