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EXACT
2009
15 years 12 days ago
Explaining a Result to the End-User: A Geometric Approach for Classification Problems
This paper addresses the issue of the explanation of the result given to the end-user by a classifier, when it is used as a decision support system. We consider machine learning cl...
Isabelle Alvarez, Sophie Martin
123
Voted
IGPL
2010
142views more  IGPL 2010»
14 years 12 months ago
Logics of Kripke meta-models
This paper introduces and studies a new type of logical construction, which allows to combine various non-classical propositional logics with the temporal or modal background. The...
Sergey Babenyshev, Vladimir V. Rybakov
118
Voted
TFS
2011
194views Education» more  TFS 2011»
14 years 9 months ago
Top-Down Induction of Fuzzy Pattern Trees
Fuzzy pattern tree induction was recently introduced as a novel machine learning method for classification. Roughly speaking, a pattern tree is a hierarchical, tree-like structur...
R. Senge, Eyke Hüllermeier
143
Voted
TSP
2011
151views more  TSP 2011»
14 years 9 months ago
Stochastic Models for Sparse and Piecewise-Smooth Signals
Abstract—We introduce an extended family of continuous-domain stochastic models for sparse, piecewise-smooth signals. These are specified as solutions of stochastic differential...
Michael Unser, Pouya Dehghani Tafti
150
Voted
AIPS
2011
14 years 6 months ago
Heuristic Search for Generalized Stochastic Shortest Path MDPs
Research in efficient methods for solving infinite-horizon MDPs has so far concentrated primarily on discounted MDPs and the more general stochastic shortest path problems (SSPs...
Andrey Kolobov, Mausam, Daniel S. Weld, Hector Gef...