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UM
2005
Springer
16 years 17 days ago
Data-Driven Refinement of a Probabilistic Model of User Affect
We present further developments in our work on using data from real users to build a probabilistic model of user affect based on Dynamic Bayesian Networks (DBNs) and designed to de...
Cristina Conati, Heather Maclaren
CODES
2000
IEEE
15 years 11 months ago
Performance estimation for embedded systems with data and control dependencies
In this paper we present an approach to performance estimation for hard real-time systems. We consider architectures consisting of multiple processors. The scheduling policy is ba...
Paul Pop, Petru Eles, Zebo Peng
NIPS
2007
15 years 8 months ago
Non-parametric Modeling of Partially Ranked Data
Statistical models on full and partial rankings of n items are often of limited practical use for large n due to computational consideration. We explore the use of non-parametric ...
Guy Lebanon, Yi Mao
NIPS
1998
15 years 8 months ago
Learning a Continuous Hidden Variable Model for Binary Data
A directed generative model for binary data using a small number of hidden continuous units is investigated. A clipping nonlinearity distinguishes the model from conventional prin...
Daniel D. Lee, Haim Sompolinsky
BMCBI
2004
97views more  BMCBI 2004»
15 years 7 months ago
Calibration and assessment of channel-specific biases in microarray data with extended dynamical range
Background: Non-linearities in observed log-ratios of gene expressions, also known as intensity dependent log-ratios, can often be accounted for by global biases in the two channe...
Henrik Bengtsson, Göran Jönsson, Johan V...