1900 search results - page 157 / 380 » Gaussian Processes in Machine Learning |
104
Voted
COLT
1994
Springer
15 years 4 months ago
1994
Springer
We propose and analyze a distribution learning algorithm for variable memory length Markov processes. These processes can be described by a subclass of probabilistic nite automata...
103
Voted
IPSN
2010
Springer
15 years 7 months ago
2010
Springer
We consider the problem of selecting an optimal set of sensors, as determined, for example, by the predictive accuracy of the resulting sensor network. Given an underlying metric ...
92
Voted
ML
2008
ACM
15 years 15 days ago
2008
ACM
Let f be a function on Rd that is monotonic in every variable. There are 2d possible assignments to the directions of monotonicity (two per variable). We provide sufficient condit...
119
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ICML
1996
IEEE
16 years 1 months ago
1996
IEEE
Generating good, production-quality plans is an essential element in transforming planners from research tools into real-world applications, but one that has been frequently overl...
98
Voted
ML
2008
ACM
15 years 15 days ago
2008
ACM
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...