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120
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KDD
2006
ACM
155views Data Mining» more  KDD 2006»
16 years 3 months ago
Single-pass online learning: performance, voting schemes and online feature selection
To learn concepts over massive data streams, it is essential to design inference and learning methods that operate in real time with limited memory. Online learning methods such a...
Vitor R. Carvalho, William W. Cohen
119
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ATAL
2009
Springer
15 years 9 months ago
An empirical analysis of value function-based and policy search reinforcement learning
In several agent-oriented scenarios in the real world, an autonomous agent that is situated in an unknown environment must learn through a process of trial and error to take actio...
Shivaram Kalyanakrishnan, Peter Stone
KDD
2008
ACM
161views Data Mining» more  KDD 2008»
16 years 3 months ago
Spectral domain-transfer learning
Traditional spectral classification has been proved to be effective in dealing with both labeled and unlabeled data when these data are from the same domain. In many real world ap...
Xiao Ling, Wenyuan Dai, Gui-Rong Xue, Qiang Yang, ...
110
Voted
AAAI
2010
15 years 4 months ago
User-Specific Learning for Recognizing a Singer's Intended Pitch
We consider the problem of automatic vocal melody transcription: translating an audio recording of a sung melody into a musical score. While previous work has focused on finding t...
Andrew Guillory, Sumit Basu, Dan Morris
105
Voted
GECCO
2007
Springer
176views Optimization» more  GECCO 2007»
15 years 8 months ago
Best SubTree genetic programming
The result of the program encoded into a Genetic Programming (GP) tree is usually returned by the root of that tree. However, this is not a general strategy. In this paper we pres...
Oana Muntean, Laura Diosan, Mihai Oltean