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117
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ALIFE
2008
15 years 6 days ago
Exploring the Operational Characteristics of Inference Algorithms for Transcriptional Networks by Means of Synthetic Data
The development of structure-learning algorithms for gene regulatory networks depends heavily on the availability of synthetic data sets that contain both the original network and ...
Koenraad Van Leemput, Tim Van den Bulcke, Thomas D...
93
Voted
ACL
2010
14 years 10 months ago
Blocked Inference in Bayesian Tree Substitution Grammars
Learning a tree substitution grammar is very challenging due to derivational ambiguity. Our recent approach used a Bayesian non-parametric model to induce good derivations from tr...
Trevor Cohn, Phil Blunsom
IFL
2003
Springer
159views Formal Methods» more  IFL 2003»
15 years 5 months ago
Inferring Cost Equations for Recursive, Polymorphic and Higher-Order Functional Programs
Abstract This paper presents a type-based analysis for inferring sizeand cost-equations for recursive, higher-order and polymorphic functional programs without requiring user annot...
Pedro B. Vasconcelos, Kevin Hammond
97
Voted
VL
2002
IEEE
15 years 5 months ago
Visually Customizing Inference Rules About Apples and Oranges
We have been working on a unit system for end-user spreadsheets that is based on the concrete notion of units of the abstract concept of types. In previous work, we defined such ...
Margaret M. Burnett, Martin Erwig
101
Voted
IJCAI
2001
15 years 2 months ago
Constraints as Data: A New Perspective on Inferring Probabilities
We present a new approach to inferring a probability distribution which is incompletely specified by a number of linear constraints. We argue that the currently most popular appro...
Manfred Jaeger