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» A Machine Learning Approach to TCP Throughput Prediction
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TKDE
2008
123views more  TKDE 2008»
13 years 8 months ago
Explaining Classifications For Individual Instances
We present a method for explaining predictions for individual instances. The presented approach is general and can be used with all classification models that output probabilities...
Marko Robnik-Sikonja, Igor Kononenko
EPEW
2008
Springer
13 years 10 months ago
An Empirical Investigation of the Applicability of a Component-Based Performance Prediction Method
Abstract. Component-based software performance engineering (CBSPE) methods shall enable software architects to assess the expected response times, throughputs, and resource utiliza...
Anne Martens, Steffen Becker, Heiko Koziolek, Ralf...
ECML
2005
Springer
14 years 2 months ago
A Comparison of Approaches for Learning Probability Trees
Probability trees (or Probability Estimation Trees, PET’s) are decision trees with probability distributions in the leaves. Several alternative approaches for learning probabilit...
Daan Fierens, Jan Ramon, Hendrik Blockeel, Maurice...
ESSMAC
2003
Springer
14 years 1 months ago
Nonlinear Predictive Control with a Gaussian Process Model
Abstract. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can h...
Jus Kocijan, Roderick Murray-Smith
ICML
2004
IEEE
14 years 9 months ago
Predictive automatic relevance determination by expectation propagation
In many real-world classification problems the input contains a large number of potentially irrelevant features. This paper proposes a new Bayesian framework for determining the r...
Yuan (Alan) Qi, Thomas P. Minka, Rosalind W. Picar...