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ICML
2000
IEEE
16 years 7 months ago
Clustering with Instance-level Constraints
Clustering algorithms conduct a search through the space of possible organizations of a data set. In this paper, we propose two types of instance-level clustering constraints ? mu...
Kiri Wagstaff, Claire Cardie
MLDM
2008
Springer
15 years 6 months ago
Distributed Monitoring of Frequent Items
Monitoring frequently occuring items is a recurring task in a variety of applications. Although a number of solutions have been proposed there has been few to address the problem i...
Robert Fuller, Mehmed M. Kantardzic
150
Voted
SIGIR
2010
ACM
15 years 10 months ago
Combining coregularization and consensus-based self-training for multilingual text categorization
We investigate the problem of learning document classifiers in a multilingual setting, from collections where labels are only partially available. We address this problem in the ...
Massih-Reza Amini, Cyril Goutte, Nicolas Usunier
DATE
2010
IEEE
139views Hardware» more  DATE 2010»
15 years 11 months ago
Constant-time admission control for Deadline Monotonic tasks
—The admission control problem is concerned with determining whether a new task may be accepted by a system consisting of a set of running tasks, such that the already admitted a...
Alejandro Masrur, Samarjit Chakraborty, Georg F&au...
ICML
2009
IEEE
16 years 7 months ago
Compositional noisy-logical learning
We describe a new method for learning the conditional probability distribution of a binary-valued variable from labelled training examples. Our proposed Compositional Noisy-Logica...
Alan L. Yuille, Songfeng Zheng