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CHI
2010
ACM
15 years 9 months ago
Interactive optimization for steering machine classification
Interest has been growing within HCI on the use of machine learning and reasoning in applications to classify such hidden states as user intentions, based on observations. HCI res...
Ashish Kapoor, Bongshin Lee, Desney S. Tan, Eric H...
117
Voted
ICML
2004
IEEE
16 years 3 months ago
The Bayesian backfitting relevance vector machine
Traditional non-parametric statistical learning techniques are often computationally attractive, but lack the same generalization and model selection abilities as state-of-the-art...
Aaron D'Souza, Sethu Vijayakumar, Stefan Schaal
103
Voted
EUROPAR
2005
Springer
15 years 7 months ago
Modeling Machine Availability in Enterprise and Wide-Area Distributed Computing Environments
In this paper, we consider the problem of modeling machine availability in enterprise-area and wide-area distributed computing settings. Using availability data gathered from three...
Daniel Nurmi, John Brevik, Richard Wolski
93
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DCC
2005
IEEE
16 years 1 months ago
Lossless Data Compression Using Optimal Tree Machines
We discuss a lossless data compression system that uses fixed Tree Machines to encode data. The idea is to create a sequence of Tree Machines and a robust escape method aimed at p...
Gergely Korodi, Jorma Rissanen, Ioan Tabus
CLIN
2004
15 years 3 months ago
Machine Learning and the Cognitive Basis of Natural Language
Machine learning and statistical methods have yielded impressive results in a wide variety of natural language processing tasks. These advances have generally been regarded as eng...
Shalom Lappin