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» Geometry-aware metric learning
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DAGM
2011
Springer
12 years 8 months ago
Relaxed Exponential Kernels for Unsupervised Learning
Many unsupervised learning algorithms make use of kernels that rely on the Euclidean distance between two samples. However, the Euclidean distance is optimal for Gaussian distribut...
Karim T. Abou-Moustafa, Mohak Shah, Fernando De la...
DAGM
2007
Springer
14 years 3 months ago
The Minimum Volume Ellipsoid Metric
We propose an unsupervised “local learning” algorithm for learning a metric in the input space. Geometrically, for a given query point, the algorithm finds the minimum volume ...
Karim T. Abou-Moustafa, Frank P. Ferrie
TKDE
2010
168views more  TKDE 2010»
13 years 7 months ago
Completely Lazy Learning
—Local classifiers are sometimes called lazy learners because they do not train a classifier until presented with a test sample. However, such methods are generally not complet...
Eric K. Garcia, Sergey Feldman, Maya R. Gupta, San...
COLING
2010
13 years 3 months ago
Filtered Ranking for Bootstrapping in Event Extraction
Several researchers have proposed semi-supervised learning methods for adapting event extraction systems to new event types. This paper investigates two kinds of bootstrapping met...
Shasha Liao, Ralph Grishman
TCIAIG
2010
13 years 3 months ago
Modeling Player Experience for Content Creation
In this paper, we use computational intelligence techniques to built quantitative models of player experience for a platform game. The models accurately predict certain key affecti...
Christopher Pedersen, Julian Togelius, Georgios N....