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» Forecasting high-dimensional data
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NAACL
2001
14 years 11 months ago
Chunking with Support Vector Machines
We apply Support Vector Machines (SVMs) to identify English base phrases (chunks). SVMs are known to achieve high generalization performance even with input data of high dimension...
Taku Kudo, Yuji Matsumoto
PAMI
2006
117views more  PAMI 2006»
14 years 9 months ago
Metric Learning for Text Documents
High dimensional structured data such as text and images is often poorly understood and misrepresented in statistical modeling. The standard histogram representation suffers from ...
Guy Lebanon
CIKM
2008
Springer
14 years 11 months ago
A note on search based forecasting of ad volume in contextual advertising
In contextual advertising, estimating the number of impressions of an ad is critical in planning and budgeting advertising campaigns. However, producing this forecast, even within...
Xuerui Wang, Andrei Z. Broder, Marcus Fontoura, Va...
WPES
2004
ACM
15 years 3 months ago
Private collaborative forecasting and benchmarking
Suppose a number of hospitals in a geographic area want to learn how their own heart-surgery unit is doing compared with the others in terms of mortality rates, subsequent complic...
Mikhail J. Atallah, Marina Bykova, Jiangtao Li, Ke...
AI
2005
Springer
14 years 9 months ago
Choosing words in computer-generated weather forecasts
One of the main challenges in automatically generating textual weather forecasts is choosing appropriate English words to communicate numeric weather data. A corpus-based analysis...
Ehud Reiter, Somayajulu Sripada, Jim Hunter, Jin Y...