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ICML
2010
IEEE
13 years 8 months ago
High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
Gregory Druck, Andrew McCallum
PERCOM
2009
ACM
14 years 2 months ago
A Dynamic Platform for Runtime Adaptation
—We present a middleware platform for assembling pervasive applications that demand fault-tolerance and adaptivity in distributed, dynamic environments. Unlike typical adaptive m...
Hubert Pham, Justin Mazzola Paluska, Umar Saif, Ch...
ADHOC
2007
169views more  ADHOC 2007»
13 years 7 months ago
Ensuring strong data guarantees in highly mobile ad hoc networks via quorum systems
Ensuring the consistency and the availability of replicated data in highly mobile ad hoc networks is a challenging task because of the lack of a backbone infrastructure. Previous ...
Daniela Tulone
TON
1998
186views more  TON 1998»
13 years 7 months ago
Virtual path control for ATM networks with call level quality of service guarantees
— The configuration of virtual path (VP) connection services is expected to play an important role in the operation of large-scale asynchronous transfer mode (ATM) networks. A m...
Nikolaos Anerousis, Aurel A. Lazar
UAI
2004
13 years 9 months ago
The Minimum Information Principle for Discriminative Learning
Exponential models of distributions are widely used in machine learning for classification and modelling. It is well known that they can be interpreted as maximum entropy models u...
Amir Globerson, Naftali Tishby