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» Decomposable Modeling in Natural Language Processing
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AIRS
2010
Springer
14 years 12 months ago
Tuning Machine-Learning Algorithms for Battery-Operated Portable Devices
Machine learning algorithms in various forms are now increasingly being used on a variety of portable devices, starting from cell phones to PDAs. They often form a part of standard...
Ziheng Lin, Yan Gu, Samarjit Chakraborty
111
Voted
INTERSPEECH
2010
14 years 9 months ago
Beyond sentence prosody
The prosody of a sentence (utterance) when it appears in a discourse context differs substantially from when it is uttered in isolation. This paper addresses why paragraph is a di...
Chiu-yu Tseng
ANLP
1994
108views more  ANLP 1994»
15 years 3 months ago
Does Baum-Welch Re-estimation Help Taggers?
In part of speech tagging by Hidden Markov Model, a statistical model is used to assign grammatical categories to words in a text. Early work in the field relied on a corpus which...
David Elworthy
CORR
2012
Springer
170views Education» more  CORR 2012»
13 years 10 months ago
What Cannot be Learned with Bethe Approximations
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
Uri Heinemann, Amir Globerson
149
Voted
JMLR
2012
13 years 4 months ago
Random Search for Hyper-Parameter Optimization
Grid search and manual search are the most widely used strategies for hyper-parameter optimization. This paper shows empirically and theoretically that randomly chosen trials are ...
James Bergstra, Yoshua Bengio