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» Arguing and Explaining Classifications
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TKDE
2008
123views more  TKDE 2008»
13 years 5 months ago
Explaining Classifications For Individual Instances
We present a method for explaining predictions for individual instances. The presented approach is general and can be used with all classification models that output probabilities...
Marko Robnik-Sikonja, Igor Kononenko
JMLR
2010
104views more  JMLR 2010»
13 years 17 days ago
How to Explain Individual Classification Decisions
After building a classifier with modern tools of machine learning we typically have a black box at hand that is able to predict well for unseen data. Thus, we get an answer to the...
David Baehrens, Timon Schroeter, Stefan Harmeling,...
EXACT
2009
13 years 3 months 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
SYNTHESE
2011
98views more  SYNTHESE 2011»
13 years 22 days ago
How scientific models can explain
: ic models invariably involve some degree of idealization, abstraction, or fictionalization of their target system. Nonetheless, I argue that there are circumstances under which s...
Alisa Bokulich
CPM
2000
Springer
143views Combinatorics» more  CPM 2000»
13 years 10 months ago
Explaining and Controlling Ambiguity in Dynamic Programming
Abstract. Ambiguity in dynamic programming arises from two independent sources, the non-uniqueness of optimal solutions and the particular recursion scheme by which the search spac...
Robert Giegerich