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ECML
2004
Springer
15 years 6 months ago
Experiments in Value Function Approximation with Sparse Support Vector Regression
Abstract. We present first experiments using Support Vector Regression as function approximator for an on-line, sarsa-like reinforcement learner. To overcome the batch nature of S...
Tobias Jung, Thomas Uthmann
102
Voted
ICDM
2009
IEEE
200views Data Mining» more  ICDM 2009»
14 years 10 months ago
Improving SVM Classification on Imbalanced Data Sets in Distance Spaces
Abstract--Imbalanced data sets present a particular challenge to the data mining community. Often, it is the rare event that is of interest and the cost of misclassifying the rare ...
Suzan Koknar-Tezel, Longin Jan Latecki
EDBT
2008
ACM
140views Database» more  EDBT 2008»
16 years 26 days ago
Dynamic skyline queries in metric spaces
Skyline query is of great importance in many applications, such as multi-criteria decision making and business planning. In particular, a skyline point is a data object in the dat...
Lei Chen 0002, Xiang Lian
110
Voted
ICML
2006
IEEE
16 years 1 months ago
Simpler knowledge-based support vector machines
If appropriately used, prior knowledge can significantly improve the predictive accuracy of learning algorithms or reduce the amount of training data needed. In this paper we intr...
Quoc V. Le, Alex J. Smola, Thomas Gärtner
75
Voted
WWW
2007
ACM
16 years 1 months ago
Altering document term vectors for classification: ontologies as expectations of co-occurrence
In this paper we extend the state-of-the-art in utilizing background knowledge for supervised classification by exploiting the semantic relationships between terms explicated in O...
Meenakshi Nagarajan, Amit P. Sheth, Marcos Kawazoe...