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SLOGICA
2008
54views more  SLOGICA 2008»
13 years 4 months ago
Probabilistic Justification and the Regress Problem
We discuss two objections that foundationalists have raised against infinite chains of probabilistic justification. We demonstrate that neither of the objections can be maintained....
Jeanne Peijnenburg, David Atkinson
WSC
2007
13 years 6 months ago
Stochastic rollout and justification to solve the resource-constrained project scheduling problem
The key question addressed by the resource-constrained project scheduling problem (RCPSP) is to determine the start times for each activity such that precedence and resource const...
Ningxiong Xu, Linda K. Nozick, Orr Bernstein, Dean...
KDD
2006
ACM
115views Data Mining» more  KDD 2006»
14 years 5 months ago
Supervised probabilistic principal component analysis
Principal component analysis (PCA) has been extensively applied in data mining, pattern recognition and information retrieval for unsupervised dimensionality reduction. When label...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
AAAI
2011
12 years 4 months ago
Incorporating Boosted Regression Trees into Ecological Latent Variable Models
Important ecological phenomena are often observed indirectly. Consequently, probabilistic latent variable models provide an important tool, because they can include explicit model...
Rebecca A. Hutchinson, Li-Ping Liu, Thomas G. Diet...
ML
2002
ACM
140views Machine Learning» more  ML 2002»
13 years 4 months ago
A Probabilistic Framework for SVM Regression and Error Bar Estimation
In this paper, we elaborate on the well-known relationship between Gaussian Processes (GP) and Support Vector Machines (SVM) under some convex assumptions for the loss functions. ...
Junbin Gao, Steve R. Gunn, Chris J. Harris, Martin...