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218
Voted
AAAI
2007
15 years 9 months ago
2007
In probabilistic reasoning, the problems of existence and identity are important to many different queries; for example, the probability that something that fits some description...
179
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AAAI
2008
15 years 9 months ago
2008
Recent study has shown that canonical algorithms such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) can be obtained from graph based dimensionality ...
173
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AAAI
2008
15 years 9 months ago
2008
We propose a new discriminative framework, namely Hidden Dynamic Conditional Random Fields (HDCRFs), for building probabilistic models which can capture both internal and external...
155
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AAAI
2008
2008
Examining Difficulties Software Developers Encounter in the Adoption of Statistical Machine Learning
15 years 9 months ago
Statistical machine learning continues to show promise as a tool for addressing complex problems in a variety of domains. An increasing number of developers are therefore looking ...
194
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AAAI
2008
15 years 9 months ago
2008
Fisher score and Laplacian score are two popular feature selection algorithms, both of which belong to the general graph-based feature selection framework. In this framework, a fe...