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ML
2006
ACM
105views Machine Learning» more  ML 2006»
13 years 10 months ago
Propositionalization-based relational subgroup discovery with RSD
Abstract Relational rule learning algorithms are typically designed to construct classification and prediction rules. However, relational rule learning can be adapted also to subgr...
Filip Zelezný, Nada Lavrac
ML
2006
ACM
149views Machine Learning» more  ML 2006»
13 years 10 months ago
A case based approach to expressivity-aware tempo transformation
The research presented in this paper is focused on global tempo transformations of music performances. We are investigating the problem of how a performance played at a particular...
Maarten Grachten, Josep Lluís Arcos, Ramon ...
AIR
2005
119views more  AIR 2005»
13 years 10 months ago
An Assessment of Case-Based Reasoning for Spam Filtering
Because of the changing nature of spam, a spam filtering system that uses machine learning will need to be dynamic. This suggests that a case-based (memory-based) approach may work...
Sarah Jane Delany, Padraig Cunningham, Lorcan Coyl...
TKDE
2008
123views more  TKDE 2008»
13 years 10 months ago
Explaining Classifications For Individual Instances
We present a method for explaining predictions for individual instances. The presented approach is general and can be used with all classification models that output probabilities...
Marko Robnik-Sikonja, Igor Kononenko
ML
2000
ACM
105views Machine Learning» more  ML 2000»
13 years 10 months ago
Multiple Comparisons in Induction Algorithms
Abstract. A single mechanism is responsible for three pathologies of induction algorithms: attribute selection errors, overfitting, and oversearching. In each pathology, induction ...
David D. Jensen, Paul R. Cohen