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» Depth-based inference for functional data
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NIPS
2007
13 years 11 months ago
Agreement-Based Learning
The learning of probabilistic models with many hidden variables and nondecomposable dependencies is an important and challenging problem. In contrast to traditional approaches bas...
Percy Liang, Dan Klein, Michael I. Jordan
WCE
2007
13 years 11 months ago
Bootstrap Confidence Interval for the Median Failure Time of Three-Parameter Weibull Distribution
— In many applications of failure time data analysis, it is important to perform inferences about the median of the distribution function in situations of failure time data model...
N. A. Ibrahim, A. Kudus
WFLP
2000
Springer
124views Algorithms» more  WFLP 2000»
14 years 1 months ago
A Formal Approach to Reasoning about the Effectiveness of Partial Evaluation
We introduce a framework for assessing the effectiveness of partial evaluators in functional logic languages. Our framework is based on properties of the rewrite system that models...
Elvira Albert, Sergio Antoy, Germán Vidal
PKDD
2009
Springer
155views Data Mining» more  PKDD 2009»
14 years 4 months ago
Dynamic Factor Graphs for Time Series Modeling
Abstract. This article presents a method for training Dynamic Factor Graphs (DFG) with continuous latent state variables. A DFG includes factors modeling joint probabilities betwee...
Piotr W. Mirowski, Yann LeCun
AMW
2009
13 years 7 months ago
Schema Design for Uncertain Databases
We address schema design in uncertain databases. Since uncertain data is relational in nature, decomposition becomes a key issue in design. Decomposition relies on dependency theo...
Anish Das Sarma, Jeffrey D. Ullman, Jennifer Widom