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CLEF
2010
Springer
13 years 6 months ago
Examining the Robustness of Evaluation Metrics for Patent Retrieval with Incomplete Relevance Judgements
Recent years have seen a growing interest in research into patent retrieval. One of the key issues in conducting information retrieval (IR) research is meaningful evaluation of the...
Walid Magdy, Gareth J. F. Jones
FCT
2009
Springer
14 years 4 months ago
On Random Betweenness Constraints
Despite of their applicability betweennness constraints have (to the authorā€™s knowledge) hardly been considered from the random structures point of view. They are essentially diļ...
Andreas Goerdt
ICML
2010
IEEE
13 years 11 months ago
Projection Penalties: Dimension Reduction without Loss
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
Yi Zhang 0010, Jeff Schneider
EUROCOLT
1997
Springer
14 years 2 months ago
Vapnik-Chervonenkis Dimension of Recurrent Neural Networks
Most of the work on the Vapnik-Chervonenkis dimension of neural networks has been focused on feedforward networks. However, recurrent networks are also widely used in learning app...
Pascal Koiran, Eduardo D. Sontag
KDD
2004
ACM
216views Data Mining» more  KDD 2004»
14 years 10 months ago
GPCA: an efficient dimension reduction scheme for image compression and retrieval
Recent years have witnessed a dramatic increase in the quantity of image data collected, due to advances in fields such as medical imaging, reconnaissance, surveillance, astronomy...
Jieping Ye, Ravi Janardan, Qi Li