1091 search results - page 49 / 219 » Learning Models for Predicting Recognition Performance |
139
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PPSN
2010
Springer
15 years 16 days ago
2010
Springer
The target of machine learning is a predictive model that performs well on unseen data. Often, such a model has multiple intended uses, related to different points in the tradeoff ...
128
Voted
KDD
2004
ACM
16 years 3 months ago
2004
ACM
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
149
Voted
CSL
2007
Springer
2007
Springer
Speaker-adaptive learning of resonance targets in a hidden trajectory model of speech coarticulation
15 years 2 months ago
A novel speaker-adaptive learning algorithm is developed and evaluated for a hidden trajectory model of speech coarticulation and reduction. Central to this model is the process o...
136
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KDD
2007
ACM
15 years 8 months ago
2007
ACM
In this paper, we propose a new method called Prototype Ranking (PR) designed for the stock selection problem. PR takes into account the huge size of real-world stock data and app...
141
Voted
CVPR
2005
IEEE
15 years 8 months ago
2005
IEEE
Here we explore a discriminative learning method on underlying generative models for the purpose of discriminating between object categories. Visual recognition algorithms learn m...