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JMLR
2008
209views more  JMLR 2008»
14 years 9 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
IJPRAI
2002
93views more  IJPRAI 2002»
14 years 9 months ago
Improving Stability of Decision Trees
Decision-tree algorithms are known to be unstable: small variations in the training set can result in different trees and different predictions for the same validation examples. B...
Mark Last, Oded Maimon, Einat Minkov
89
Voted
DCOSS
2009
Springer
15 years 4 months ago
Fast Self-stabilization for Gradients
Abstract. Gradients are distributed distance estimates used as a building block in many sensor network applications. In large or long-lived deployments, it is important for the est...
Jacob Beal, Jonathan Bachrach, Daniel Vickery, Mar...
83
Voted
PERCOM
2010
ACM
14 years 8 months ago
Towards wearable sensing-based assessment of fluid intake
—Fluid intake is an important information for many health and assisted living applications. At the same time it is inherently difficult to monitor. Existing reliable solutions r...
Oliver Amft, David Bannach, Gerald Pirkl, Matthias...
SMC
2007
IEEE
102views Control Systems» more  SMC 2007»
15 years 3 months ago
TagFree: Identifying users without tags in smart home environments
— Since family members have their unique features when living in a smart home environment, user identifications are able to achieve without any tags. In this paper, we propose T...
Wen-Chih Peng, Wangling Huang, YiLing Chen, PeiChi...