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» Learning Instance-Specific Predictive Models
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ICMLA
2008
13 years 10 months ago
Data Integration for Recommendation Systems
The quality of large-scale recommendation systems has been insufficient in terms of the accuracy of prediction. One of the major reasons is caused by the sparsity of the samples, ...
Zhonghang Xia, Houduo Qi, Manghui Tu, Wenke Zhang
NAACL
2007
13 years 10 months ago
Multiple Aspect Ranking Using the Good Grief Algorithm
We address the problem of analyzing multiple related opinions in a text. For instance, in a restaurant review such opinions may include food, ambience and service. We formulate th...
Benjamin Snyder, Regina Barzilay
ICML
2003
IEEE
14 years 9 months ago
Regression Error Characteristic Curves
Receiver Operating Characteristic (ROC) curves provide a powerful tool for visualizing and comparing classification results. Regression Error Characteristic (REC) curves generaliz...
Jinbo Bi, Kristin P. Bennett
ECAL
2007
Springer
14 years 3 months ago
Improving Agent Localisation Through Stereotypical Motion
Abstract. When bees and wasps leave the nest to forage, they perform orientation or learning flights. This behaviour includes a number of stereotyped flight manoeuvres mediating ...
Bart Baddeley, Andrew Philippides
ECML
2006
Springer
14 years 15 days ago
Ensembles of Nearest Neighbor Forecasts
Nearest neighbor forecasting models are attractive with their simplicity and the ability to predict complex nonlinear behavior. They rely on the assumption that observations simila...
Dragomir Yankov, Dennis DeCoste, Eamonn J. Keogh