Sciweavers

259 search results - page 6 / 52
» Causal Discovery from Changes
Sort
View
SYNTHESE
2008
112views more  SYNTHESE 2008»
13 years 7 months ago
A sufficient condition for pooling data
We consider the problems arising from using sequences of experiments to discover the causal structure among a set of variables, none of whom are known ahead of time to be an "...
Frederick Eberhardt
NIPS
2008
13 years 8 months ago
Integrating Locally Learned Causal Structures with Overlapping Variables
In many domains, data are distributed among datasets that share only some variables; other recorded variables may occur in only one dataset. While there are asymptotically correct...
Robert E. Tillman, David Danks, Clark Glymour
ICIAR
2004
Springer
14 years 24 days ago
Environment Authentication Through 3D Structural Analysis
Abstract. We address the validation of the current sensed environmental state against a model known from earlier perception. Our surface based approach compares 3D range data of a ...
Toby P. Breckon, Robert B. Fisher
HICSS
2009
IEEE
189views Biometrics» more  HICSS 2009»
14 years 2 months ago
Predicting Change: A Study of the Value Frequency Model for Change of Practice
Information systems (IS) researchers have made considerable progress on defining and formalizing structured methods to support collaborative development of information systems. Co...
Robert O. Briggs, John D. Murphy, Thomas F. Carlis...
FLAIRS
2003
13 years 8 months ago
Algorithms for Large Scale Markov Blanket Discovery
This paper presents a number of new algorithms for discovering the Markov Blanket of a target variable T from training data. The Markov Blanket can be used for variable selection ...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...