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COLING
2010
14 years 11 months ago
Cross-Market Model Adaptation with Pairwise Preference Data for Web Search Ranking
Machine-learned ranking techniques automatically learn a complex document ranking function given training data. These techniques have demonstrated the effectiveness and flexibilit...
Jing Bai, Fernando Diaz, Yi Chang, Zhaohui Zheng, ...
145
Voted
VLDB
2004
ACM
155views Database» more  VLDB 2004»
15 years 9 months ago
AWESOME - A Data Warehouse-based System for Adaptive Website Recommendations
Recommendations are crucial for the success of large websites. While there are many ways to determine recommendations, the relative quality of these recommenders depends on many f...
Andreas Thor, Erhard Rahm
138
Voted
VISSYM
2003
15 years 5 months ago
Adaptive Smooth Scattered Data Approximation for Large-scale Terrain Visualization
We present a fast method that adaptively approximates large-scale functional scattered data sets with hierarchical B-splines. The scheme is memory efficient, easy to implement an...
Martin Bertram, Xavier Tricoche, Hans Hagen
143
Voted
ICIAP
2005
ACM
16 years 4 months ago
A Neural Adaptive Algorithm for Feature Selection and Classification of High Dimensionality Data
In this paper, we propose a novel method which involves neural adaptive techniques for identifying salient features and for classifying high dimensionality data. In particular a ne...
Elisabetta Binaghi, Ignazio Gallo, Mirco Boschetti...
ISCAS
2005
IEEE
148views Hardware» more  ISCAS 2005»
15 years 9 months ago
Clock and data recovery with adaptive loop gain for spread spectrum SerDes applications
—A novel clock and data recovery architecture with adaptive loop gain is proposed for spread spectrum SerDes applications such as the Serial AT Attachment. The proposed design co...
Ming-Ta Hsieh, Gerald E. Sobelman