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COLT
2001
Springer
13 years 12 months ago
Learning Additive Models Online with Fast Evaluating Kernels
Abstract. We develop three new techniques to build on the recent advances in online learning with kernels. First, we show that an exponential speed-up in prediction time per trial ...
Mark Herbster
EMSOFT
2004
Springer
14 years 25 days ago
Model based estimation and verification of mobile device performance
Performance is an important quality attribute that needs to be and managed proactively. Abstract models of the system are not very useful if they do not produce reasonably accurat...
Gopalakrishna Raghavan, Ari Salomaki, Raimondas Le...
OSDI
2002
ACM
14 years 7 months ago
Using Model Checking to Debug Device Firmware
Device firmware is a piece of concurrent software that achieves high performance at the cost of software complexity. They contain subtle race conditions that make them difficult t...
Sanjeev Kumar, Kai Li
ESOP
2011
Springer
12 years 11 months ago
Measure Transformer Semantics for Bayesian Machine Learning
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Johannes Borgström, Andrew D. Gordon, Michael...
TSP
2010
13 years 2 months ago
Distributed spectrum sensing for cognitive radio networks by exploiting sparsity
Abstract--A cooperative approach to the sensing task of wireless cognitive radio (CR) networks is introduced based on a basis expansion model of the power spectral density (PSD) ma...
Juan Andrés Bazerque, Georgios B. Giannakis