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» Instantiation-Based Invariant Discovery
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JMLR
2012
11 years 7 months ago
On Nonparametric Guidance for Learning Autoencoder Representations
Unsupervised discovery of latent representations, in addition to being useful for density modeling, visualisation and exploratory data analysis, is also increasingly important for...
Jasper Snoek, Ryan Prescott Adams, Hugo Larochelle
KR
2004
Springer
13 years 10 months ago
Discovering State Invariants
We continue to advocate a methodology that we used earlier for pattern discovery through exhaustive search in selected small domains. This time we apply it to the problem of disco...
Fangzhen Lin
KDD
2004
ACM
182views Data Mining» more  KDD 2004»
14 years 5 months ago
Rotation invariant distance measures for trajectories
For the discovery of similar patterns in 1D time-series, it is very typical to perform a normalization of the data (for example a transformation so that the data follow a zero mea...
Michail Vlachos, Dimitrios Gunopulos, Gautam Das
PKDD
2010
Springer
184views Data Mining» more  PKDD 2010»
13 years 3 months ago
Shift-Invariant Grouped Multi-task Learning for Gaussian Processes
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...
Yuyang Wang, Roni Khardon, Pavlos Protopapas
CORR
2012
Springer
188views Education» more  CORR 2012»
12 years 13 days ago
A Logical Characterization of Constraint-Based Causal Discovery
We present a novel approach to constraintbased causal discovery, that takes the form of straightforward logical inference, applied to a list of simple, logical statements about ca...
Tom Claassen, Tom Heskes