246 search results - page 5 / 50 » On Optimal Learning Algorithms for Multiplicity Automata |
105
Voted
JMLR
2012
13 years 2 months ago
2012
We propose a new method for comparing learning algorithms on multiple tasks which is based on a novel non-parametric test that we call the Poisson binomial test. The key aspect of...
85
Voted
CIKM
2008
Springer
15 years 1 months ago
2008
Springer
Proactive learning is a generalization of active learning designed to relax unrealistic assumptions and thereby reach practical applications. Active learning seeks to select the m...
68
Voted
ICML
2009
IEEE
16 years 13 days ago
2009
IEEE
We present a general Bayesian framework for hyperparameter tuning in L2-regularized supervised learning models. Paradoxically, our algorithm works by first analytically integratin...
CORR
2010
Springer
14 years 6 months ago
2010
Springer
Recent research on multiple kernel learning has lead to a number of approaches for combining kernels in regularized risk minimization. The proposed approaches include different for...
106
Voted
AAAI
2008
15 years 1 months ago
2008
Multiple instance learning (MIL) is a branch of machine learning that attempts to learn information from bags of instances. Many real-world applications such as localized content-...