ATAL
2011
Springer
12 years 4 months ago
2011
Springer
Proper scoring rules, particularly when used as the basis for a prediction market, are powerful tools for eliciting and aggregating beliefs about events such as the likely outcome...
BMCBI
2006
13 years 4 months ago
2006
Background: Phylogenetic analysis is emerging as one of the most informative computational methods for the annotation of genes and identification of evolutionary modules of functi...
IJCAI
2001
13 years 5 months ago
2001
The traditional representations of games using the extensive form or the strategic (normal) form obscure much of the structure that is present in real-world games. In this paper, ...
NIPS
2008
13 years 6 months ago
2008
We consider the problem of binary classification where the classifier may abstain instead of classifying each observation. The Bayes decision rule for this setup, known as Chow�...
EMNLP
2007
13 years 6 months ago
2007
We address the problem of training the free parameters of a statistical machine translation system. We show significant improvements over a state-of-the-art minimum error rate tr...
CAIP
2009
Springer
13 years 8 months ago
2009
Springer
Bottom-up segmentation methods merge similar neighboring regions according to a decision rule and a merging order. In this paper, we propose a contribution for each of these two po...
ICML
2000
IEEE
13 years 9 months ago
2000
IEEE
We propose a new rule induction algorithm for solving classification problems via probability estimation. The main advantage of decision rules is their simplicity and good interp...
ISIPTA
2003
IEEE
13 years 9 months ago
2003
IEEE
We contrast three decision rules that extend Expected Utility to contexts where a convex set of probabilities is used to depict uncertainty: Γ-Maximin, Maximality, and E-admissib...
PREMI
2005
Springer
13 years 10 months ago
2005
Springer
In the typical nonparametric approach to classification in instance-based learning and data mining, random data (the training set of patterns) are collected and used to design a d...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
Interactive image search or relevance feedback is the process which helps a user refining his query and finding difficult target categories. This consists in a step-by-step lab...