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JMLR
2008
209views more  JMLR 2008»
14 years 12 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
NN
2006
Springer
163views Neural Networks» more  NN 2006»
14 years 11 months ago
Machine learning approaches for estimation of prediction interval for the model output
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...
Durga L. Shrestha, Dimitri P. Solomatine
SMA
2008
ACM
136views Solid Modeling» more  SMA 2008»
14 years 11 months ago
Kinematic convexity of spherical displacements and its application to collision prediction
In recent years, there has been an increasing interest in developing geometric algorithms for kinematic computations. The aim of this paper is to present the notion of kinematic c...
Qiaode Jeffrey Ge, Anurag Purwar, Jun Wu
AI
2000
Springer
14 years 11 months ago
Using temporal logics to express search control knowledge for planning
Over the years increasingly sophisticated planning algorithms have been developed. These have made for more efficient planners, but unfortunately these planners still suffer from ...
Fahiem Bacchus, Froduald Kabanza
TON
1998
71views more  TON 1998»
14 years 11 months ago
Real-time block transfer under a link-sharing hierarchy
— Most application data units are too large to be carried in a single packet (or cell) and must be segmented for network delivery. To an application, the end-to-end delays and lo...
Geoffrey G. Xie, Simon S. Lam