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» Adaptive Learning from Evolving Data Streams
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121
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ITCC
2003
IEEE
15 years 9 months ago
ACE: A Resource-Aware Adaptive Compression Environment
We present an adaptive compression environment (ACE) that uses both underlying resource performance (network and CPU) predictions and the compressibility of the data stream to per...
Sezgin Sucu, Chandra Krintz
150
Voted
NIPS
2007
15 years 5 months ago
Learning Bounds for Domain Adaptation
Empirical risk minimization offers well-known learning guarantees when training and test data come from the same domain. In the real world, though, we often wish to adapt a classi...
John Blitzer, Koby Crammer, Alex Kulesza, Fernando...
144
Voted
EMNLP
2008
15 years 5 months ago
Modeling Annotators: A Generative Approach to Learning from Annotator Rationales
A human annotator can provide hints to a machine learner by highlighting contextual "rationales" for each of his or her annotations (Zaidan et al., 2007). How can one ex...
Omar Zaidan, Jason Eisner
151
Voted
ICDE
2009
IEEE
143views Database» more  ICDE 2009»
15 years 10 months ago
Supporting Generic Cost Models for Wide-Area Stream Processing
— Existing stream processing systems are optimized for a specific metric, which may limit their applicability to diverse applications and environments. This paper presents XFlow...
Olga Papaemmanouil, Ugur Çetintemel, John J...
106
Voted
ICIP
2003
IEEE
16 years 5 months ago
Learning automatic video capture from human's camera operations
This paper presents a video acquisition system that can learn automatic video capture from human's camera operations. Unlike a predefined camera control system, this system c...
Qiong Liu, Don Kimber