4930 search results - page 627 / 986 » Learning minimal abstractions |
170
click to vote
ECML
2007
Springer
16 years 1 months ago
2007
Springer
Abstract. The area under the ROC curve (AUC) has been widely used to measure ranking performance for binary classification tasks. AUC only employs the classifier’s scores to ra...
174
click to vote
ECML
2007
Springer
16 years 1 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...
218
click to vote
ECML
2007
Springer
16 years 1 months ago
2007
Springer
Abstract. Constrained clustering investigates how to incorporate domain knowledge in the clustering process. The domain knowledge takes the form of constraints that must hold on th...
160
click to vote
ECML
2007
Springer
16 years 1 months ago
2007
Springer
Abstract. Robustly estimating the state-transition probabilities of highorder Markov processes is an essential task in many applications such as natural language modeling or protei...
178
click to vote
ECML
2007
Springer
16 years 1 months ago
2007
Springer
Abstract. Clustering has recently enjoyed progress via spectral methods which group data using only pairwise affinities and avoid parametric assumptions. While spectral clustering ...