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ECML
2005
Springer
15 years 10 months ago
Margin-Sparsity Trade-Off for the Set Covering Machine
We propose a new learning algorithm for the set covering machine and a tight data-compression risk bound that the learner can use for choosing the appropriate tradeoff between the ...
François Laviolette, Mario Marchand, Mohak ...
ICML
2008
IEEE
16 years 5 months ago
SVM optimization: inverse dependence on training set size
We discuss how the runtime of SVM optimization should decrease as the size of the training data increases. We present theoretical and empirical results demonstrating how a simple ...
Shai Shalev-Shwartz, Nathan Srebro
125
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ECIS
2000
15 years 6 months ago
Tailoring IT Education for Effective IT Professionals in a Third World Setting
Small group learning combined with innovative teaching methods were introduced at tertiary level to teach computer-related subjects. Teams wereconstituted according to Belbin'...
Isabella M. Venter, Renette J. Blignaut, Deon Stol...
IS
2007
15 years 4 months ago
Evaluation of probabilistic queries over imprecise data in constantly-evolving environments
Sensors are often employed to monitor continuously changing entities like locations of moving objects and temperature. The sensor readings are reported to a database system, and a...
Reynold Cheng, Dmitri V. Kalashnikov, Sunil Prabha...
ICML
2000
IEEE
16 years 5 months ago
Discovering Test Set Regularities in Relational Domains
Machine learning typically involves discovering regularities in a training set, then applying these learned regularities to classify objects in a test set. In this paper we presen...
Seán Slattery, Tom M. Mitchell