10 search results - page 1 / 2 » Scalable Algorithms for Aggregating Disparate Forecasts of P... |
CORR
2006
Springer
13 years 4 months ago
2006
Springer
- In this paper, computational aspects of the panel aggregation problem are addressed. Motivated primarily by applications of risk assessment, an algorithm is developed for aggrega...
CISS
2011
IEEE
12 years 8 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...
CEC
2009
IEEE
13 years 9 months ago
2009
IEEE
—The paper is focused on the problem of aggregation of probability distribution applicable for parallel Bivariate Marginal Distribution Algorithm (pBMDA). A new approach based on...
KDD
2003
ACM
14 years 5 months ago
2003
ACM
Classification trees are widely used in the machine learning and data mining communities for modeling propositional data. Recent work has extended this basic paradigm to probabili...
PVLDB
2008
13 years 4 months ago
2008
Time series data is common in many settings including scientific and financial applications. In these applications, the amount of data is often very large. We seek to support pred...