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165
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NIPS
2008
15 years 5 months ago
Privacy-preserving logistic regression
This paper addresses the important tradeoff between privacy and learnability, when designing algorithms for learning from private databases. We focus on privacy-preserving logisti...
Kamalika Chaudhuri, Claire Monteleoni
124
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FLAIRS
2006
15 years 5 months ago
Robot Navigation Using Integrated Retrieval of Behaviors and Routes
RUPART1 is a hybrid robot control system for navigating a real-world, academic building. Hybrid robot control systems provide robust low-level navigation together with strategic p...
Susan Eileen Fox, Peter Anderson-Sprecher
121
Voted
JSW
2007
125views more  JSW 2007»
15 years 3 months ago
Description and Composition of E-Learning Services
— In this paper, we present our approach to describe and compose services for distant learning and research activities. For this purpose, we propose a metadata model for indexing...
Oussama Kassem Zein, Yvon Kermarrec
AI
1998
Springer
15 years 3 months ago
Worst-Case Analysis of the Perceptron and Exponentiated Update Algorithms
The absolute loss is the absolute difference between the desired and predicted outcome. This paper demonstrates worst-case upper bounds on the absolute loss for the Perceptron le...
Tom Bylander
181
Voted
ML
2002
ACM
178views Machine Learning» more  ML 2002»
15 years 3 months ago
Metric-Based Methods for Adaptive Model Selection and Regularization
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
Dale Schuurmans, Finnegan Southey