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CISS
2011
IEEE
12 years 6 months ago
Improving aggregated forecasts of probability
—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...
Guanchun Wang, Sanjeev R. Kulkarni, H. Vincent Poo...
JMLR
2006
113views more  JMLR 2006»
13 years 2 months ago
Generalized Bradley-Terry Models and Multi-Class Probability Estimates
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...
Tzu-Kuo Huang, Ruby C. Weng, Chih-Jen Lin
NIPS
2001
13 years 4 months ago
Reducing multiclass to binary by coupling probability estimates
This paper presents a method for obtaining class membership probability estimates for multiclass classification problems by coupling the probability estimates produced by binary c...
B. Zadrozny
GECCO
2000
Springer
109views Optimization» more  GECCO 2000»
13 years 6 months ago
Crossover in Probability Spaces
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...
Siddhartha Bhattacharyya, Marvin D. Troutt
DEXAW
1999
IEEE
152views Database» more  DEXAW 1999»
13 years 7 months ago
Advanced Metrics for Class-Driven Similarity Search
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...
Paolo Avesani, Enrico Blanzieri, Francesco Ricci
ECML
2003
Springer
13 years 7 months ago
Improving the AUC of Probabilistic Estimation Trees
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...
César Ferri, Peter A. Flach, José He...
ECML
2004
Springer
13 years 8 months ago
Conditional Independence Trees
It has been observed that traditional decision trees produce poor probability estimates. In many applications, however, a probability estimation tree (PET) with accurate probabilit...
Harry Zhang, Jiang Su
ICDM
2006
IEEE
226views Data Mining» more  ICDM 2006»
13 years 8 months ago
Converting Output Scores from Outlier Detection Algorithms into Probability Estimates
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...
Jing Gao, Pang-Ning Tan
IPPS
2007
IEEE
13 years 9 months ago
Probability Convergence in a Multithreaded Counting Application
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...
Chad Scherrer, Nathaniel Beagley, Jarek Nieplocha,...
KDD
2002
ACM
187views Data Mining» more  KDD 2002»
14 years 3 months ago
Transforming classifier scores into accurate multiclass probability estimates
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...
Bianca Zadrozny, Charles Elkan