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» Performance evaluation of relevance feedback methods
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ESANN
2008
13 years 9 months ago
Do we need experts for time series forecasting?
This study examines a selection of off-the-shelf forecasting and forecast combination algorithms with a focus on assessing their practical relevance by drawing conclusions for non-...
Christiane Lemke, Bogdan Gabrys
ECCV
2008
Springer
14 years 9 months ago
Output Regularized Metric Learning with Side Information
Distance metric learning has been widely investigated in machine learning and information retrieval. In this paper, we study a particular content-based image retrieval application ...
Wei Liu, Steven C. H. Hoi, Jianzhuang Liu
ICIP
2003
IEEE
14 years 9 months ago
Image retrieval with SVM active learning embedding Euclidean search
Image retrieval with relevance feedback suffers from the small sample problem. Recently, SVM active learning has been proposed to tackle this problem, showing promising results. H...
Lei Wang, Kap Luk Chan, Yap Peng Tan
EWCBR
2004
Springer
14 years 1 months ago
Facilitating CBR for Incompletely-Described Cases: Distance Metrics for Partial Problem Descriptions
A fundamental problem for case-based reasoning systems is how to select relevant prior cases. Numerous strategies have been developed for determining the similarity of prior cases,...
Steven Bogaerts, David B. Leake
KDD
2007
ACM
244views Data Mining» more  KDD 2007»
14 years 8 months ago
A Recommender System Based on Local Random Walks and Spectral Methods
In this paper, we design recommender systems for weblogs based on the link structure among them. We propose algorithms based on refined random walks and spectral methods. First, w...
Zeinab Abbassi, Vahab S. Mirrokni