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» Learning Hierarchical Shape Models from Examples
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ALT
2010
Springer
13 years 10 months ago
Recursive Teaching Dimension, Learning Complexity, and Maximum Classes
This paper is concerned with the combinatorial structure of concept classes that can be learned from a small number of examples. We show that the recently introduced notion of recu...
Thorsten Doliwa, Hans-Ulrich Simon, Sandra Zilles
FLAIRS
2007
14 years 19 days ago
Interpretive Reasoning with Hypothetical Cases
Reasoning with hypothetical cases helps decision-makers evaluate alternate hypotheses for deciding a case. The hypotheticals demonstrate the sensitivity of a hypothesis to apparen...
Kevin D. Ashley
ICDM
2010
IEEE
168views Data Mining» more  ICDM 2010»
13 years 8 months ago
Anomaly Detection Using an Ensemble of Feature Models
We present a new approach to semi-supervised anomaly detection. Given a set of training examples believed to come from the same distribution or class, the task is to learn a model ...
Keith Noto, Carla E. Brodley, Donna K. Slonim
CDC
2009
IEEE
156views Control Systems» more  CDC 2009»
14 years 2 months ago
Input design using Markov chains for system identification
This paper studies the input design problem for system identification where time domain constraints have to be considered. A finite Markov chain is used to model the input of the s...
Chiara Brighenti, Bo Wahlberg, Cristian R. Rojas
JMLR
2006
118views more  JMLR 2006»
13 years 10 months ago
Learning Factor Graphs in Polynomial Time and Sample Complexity
We study the computational and sample complexity of parameter and structure learning in graphical models. Our main result shows that the class of factor graphs with bounded degree...
Pieter Abbeel, Daphne Koller, Andrew Y. Ng