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IDA
2009
Springer
13 years 6 months ago
Adaptive Learning from Evolving Data Streams
Albert Bifet, Ricard Gavaldà
IJON
2011
113views more  IJON 2011»
13 years 3 months ago
LIFT: A new framework of learning from testing data for face recognition
Yuan Cao, Haibo He, He (Helen) Huang
KDD
1998
ACM
190views Data Mining» more  KDD 1998»
14 years 1 months ago
Time Series Forecasting from High-Dimensional Data with Multiple Adaptive Layers
This paper describes our work in learning online models that forecast real-valued variables in a high-dimensional space. A 3GB database was collected by sampling 421 real-valued s...
R. Bharat Rao, Scott Rickard, Frans Coetzee
INTERSPEECH
2010
13 years 3 months ago
Identifying articulatory goals from kinematic data using principal differential analysis
Articulatory goals can be highly indicative of lexical intentions, but are rarely used in speech classification tasks. In this paper we show that principal differential analysis c...
Michael Reimer, Frank Rudzicz

Publication
233views
12 years 7 months ago
Sparse reward processes
We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is relation among those tasks, then the information gained duri...
Christos Dimitrakakis