1034 search results - page 154 / 207 » A Bayesian Metric for Evaluating Machine Learning Algorithms |
128
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AI
2009
Springer
15 years 7 months ago
2009
Springer
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...
85
Voted
ICML
2000
IEEE
16 years 1 months ago
2000
IEEE
This paper describes Pairwise Bisection: a nonparametric approach to optimizing a noisy function with few function evaluations. The algorithm uses nonparametric reasoning about si...
ECML
2007
Springer
15 years 6 months ago
2007
Springer
Abstract. The paper investigates modification of backpropagation algorithm, consisting of discretization of neural network weights after each training cycle. This modification, a...
104
Voted
PRL
2010
14 years 11 months ago
2010
The nearest-neighbour (1NN) classifier has long been used in pattern recognition, exploratory data analysis, and data mining problems. A vital consideration in obtaining good res...
171
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NIPS
2008
15 years 1 months ago
2008
Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive operation if implemented straightforwardly. Several methods have been proposed to...