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» Modeling Classification and Inference Learning
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75
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ICML
2009
IEEE
16 years 1 months ago
Regression by dependence minimization and its application to causal inference in additive noise models
Bernhard Schölkopf, Dominik Janzing, Jonas Pe...
100
Voted
CHI
2008
ACM
16 years 24 days ago
Activity sensing in the wild: a field trial of ubifit garden
Recent advances in small inexpensive sensors, low-power processing, and activity modeling have enabled applications that use on-body sensing and machine learning to infer people&#...
Sunny Consolvo, David W. McDonald, Tammy Toscos, M...
ICDM
2007
IEEE
162views Data Mining» more  ICDM 2007»
15 years 4 months ago
Exploiting Network Structure for Active Inference in Collective Classification
Active inference seeks to maximize classification performance while minimizing the amount of data that must be labeled ex ante. This task is particularly relevant in the context o...
Matthew J. Rattigan, Marc Maier, David Jensen, Bin...
JMLR
2010
147views more  JMLR 2010»
14 years 7 months ago
Gaussian Processes for Machine Learning (GPML) Toolbox
The GPML toolbox provides a wide range of functionality for Gaussian process (GP) inference and prediction. GPs are specified by mean and covariance functions; we offer a library ...
Carl Edward Rasmussen, Hannes Nickisch
ICPR
2004
IEEE
16 years 1 months ago
A Probabilistic Approach to Learning Costs for Graph Edit Distance
Graph edit distance provides an error-tolerant way to measure distances between attributed graphs. The effectiveness of edit distance based graph classification algorithms relies ...
Horst Bunke, Michel Neuhaus