Sciweavers

Share
ATAL
2011
Springer
8 years 10 months ago
Information elicitation for decision making
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...
Yiling Chen, Ian A. Kash
BMCBI
2006
116views more  BMCBI 2006»
9 years 10 months ago
Gene annotation and network inference by phylogenetic profiling
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...
Jie Wu, Zhenjun Hu, Charles DeLisi
IJCAI
2001
9 years 12 months ago
Multi-Agent Influence Diagrams for Representing and Solving Games
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, ...
Daphne Koller, Brian Milch
NIPS
2008
10 years 1 days ago
Support Vector Machines with a Reject Option
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�...
Yves Grandvalet, Alain Rakotomamonjy, Joseph Keshe...
EMNLP
2007
10 years 1 days ago
A Systematic Comparison of Training Criteria for Statistical Machine Translation
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...
Richard Zens, Sasa Hasan, Hermann Ney
CAIP
2009
Springer
128views Image Analysis» more  CAIP 2009»
10 years 2 months ago
Significance Tests and Statistical Inequalities for Segmentation by Region Growing on Graph
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...
Guillaume Née, Stéphanie Jehan-Besso...
ICML
2000
IEEE
10 years 3 months ago
Lightweight Rule Induction
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...
Sholom M. Weiss, Nitin Indurkhya
ISIPTA
2003
IEEE
110views Mathematics» more  ISIPTA 2003»
10 years 3 months ago
Extensions of Expected Utility Theory and Some Limitations of Pairwise Comparisons
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...
Mark J. Schervish, Teddy Seidenfeld, Joseph B. Kad...
PREMI
2005
Springer
10 years 4 months ago
Geometric Decision Rules for Instance-Based Learning Problems
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...
Binay K. Bhattacharya, Kaustav Mukherjee, Godfried...
ICASSP
2008
IEEE
10 years 5 months ago
Graph laplacian for interactive image retrieval
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...
Hichem Sahbi, Patrick Etyngier, Jean-Yves Audibert...
books