1474 search results - page 62 / 295 » Computing stable models: worst-case performance estimates |
TSP
2010
13 years 2 months ago
2010
Graphical models are a framework for representing and exploiting prior conditional independence structures within distributions using graphs. In the Gaussian case, these models are...
BMCBI
2005
13 years 7 months ago
2005
Background: Profile hidden Markov model (HMM) techniques are among the most powerful methods for protein homology detection. Yet, the critical features for successful modelling ar...
COLT
2000
Springer
14 years 1 days ago
2000
Springer
We study model selection strategies based on penalized empirical loss minimization. We point out a tight relationship between error estimation and data-based complexity penalizatio...
CAMP
2005
IEEE
13 years 9 months ago
2005
IEEE
Abstract— In this paper we address the problem of the architectural exploration from the energy/performance point of view of a VLIW processor for embedded systems. We also consid...
NN
2006
Springer
13 years 7 months ago
2006
Springer
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...