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154
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ICCV
2007
IEEE
16 years 6 months ago
Active Learning with Gaussian Processes for Object Categorization
Discriminative methods for visual object category recognition are typically non-probabilistic, predicting class labels but not directly providing an estimate of uncertainty. Gauss...
Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Tr...
DSOM
2000
Springer
15 years 9 months ago
Operational Data Analysis: Improved Predictions Using Multi-computer Pattern Detection
Operational Data Analysis (ODA) automatically 1) monitors the performance of a computer through time, 2) stores such information in a data repository, 3) applies data-mining techn...
Ricardo Vilalta, Chidanand Apté, Sholom M. ...
NN
2000
Springer
165views Neural Networks» more  NN 2000»
15 years 4 months ago
Construction of confidence intervals for neural networks based on least squares estimation
We present the theoretical results about the construction of confidence intervals for a nonlinear regression based on least squares estimation and using the linear Taylor expansio...
Isabelle Rivals, Léon Personnaz
117
Voted
FASE
2007
Springer
15 years 8 months ago
Finding Environment Guarantees
Abstract. When model checking a software component, a model of the environment in which that component is supposed to run is constructed. One of the major threats to the validity o...
Marsha Chechik, Mihaela Gheorghiu, Arie Gurfinkel
135
Voted
QEST
2009
IEEE
15 years 11 months ago
The Ins and Outs of the Probabilistic Model Checker MRMC
The Markov Reward Model Checker (MRMC) is a software tool for verifying properties over probabilistic models. It supports PCTL and CSL model checking, and their reward extensions....
Joost-Pieter Katoen, Ivan S. Zapreev, Ernst Moritz...