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» A Kernel Approach to Comparing Distributions
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KDD
2008
ACM
234views Data Mining» more  KDD 2008»
16 years 5 months ago
Angle-based outlier detection in high-dimensional data
Detecting outliers in a large set of data objects is a major data mining task aiming at finding different mechanisms responsible for different groups of objects in a data set. All...
Hans-Peter Kriegel, Matthias Schubert, Arthur Zime...
ICML
2006
IEEE
16 years 5 months ago
Learning algorithms for online principal-agent problems (and selling goods online)
In a principal-agent problem, a principal seeks to motivate an agent to take a certain action beneficial to the principal, while spending as little as possible on the reward. This...
Vincent Conitzer, Nikesh Garera
ECML
2005
Springer
15 years 10 months ago
U-Likelihood and U-Updating Algorithms: Statistical Inference in Latent Variable Models
Abstract. In this paper we consider latent variable models and introduce a new U-likelihood concept for estimating the distribution over hidden variables. One can derive an estimat...
JaeMo Sung, Sung Yang Bang, Seungjin Choi, Zoubin ...
152
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IPPS
2002
IEEE
15 years 10 months ago
A Prediction-Based Real-Time Scheduling Advisor
The real-time scheduling advisor (RTSA) is an entirely userlevel system that an application running on a typical shared, unreserved distributed computing environment can turn to f...
Peter A. Dinda
DSN
2004
IEEE
15 years 8 months ago
Fault Tolerance Tradeoffs in Moving from Decentralized to Centralized Embedded Systems
Some safety-critical distributed embedded systems may need to use centralized components to achieve certain dependability properties. The difficulty in combining centralized and d...
Jennifer Morris, Daniel Kroening, Philip Koopman