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ECAI
2006
Springer
14 years 10 days ago
Calibrating Probability Density Forecasts with Multi-Objective Search
Abstract. In this paper, we show that the optimization of density forecasting models for regression in machine learning can be formulated as a multi-objective problem. We describe ...
Michael Carney, Padraig Cunningham
COLT
2008
Springer
14 years 5 days ago
High-Probability Regret Bounds for Bandit Online Linear Optimization
We present a modification of the algorithm of Dani et al. [8] for the online linear optimization problem in the bandit setting, which with high probability has regret at most O ( ...
Peter L. Bartlett, Varsha Dani, Thomas P. Hayes, S...
MVA
2007
149views Computer Vision» more  MVA 2007»
13 years 11 months ago
Extracting Object Regions Using Locally Estimated Probability Density Functions
In this paper, a novel method for estimating a precise object region using a given rough object region is proposed. For determining whether each pixel belongs to an object or not,...
Hidenori Takeshima, Takashi Ida, Toshimitsu Kaneko
VVEIS
2008
13 years 11 months ago
The Linear Conditional Probability Matrix Generator for IT Governance Performance Prediction
The goal of IT governance is not only to achieve internal efficiency in an IT organization, but also to support IT's role as a business enabler. The latter is here denoted IT ...
Mårten Simonsson, Robert Lagerström, Po...
EUSFLAT
2001
116views Fuzzy Logic» more  EUSFLAT 2001»
13 years 11 months ago
Risk assessment in natural disasters with fuzzy probabilities
Risk assessment in regions with low earthquake activity is important for reinsurance companies and governmental building authorities. They need a complete picture of the possible ...
Uwe Wagner