511 search results - page 2 / 103 » Arguing and Explaining Classifications |
TKDE
2008
13 years 4 months ago
2008
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...
JMLR
2010
12 years 11 months ago
2010
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...
EXACT
2009
13 years 2 months ago
2009
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...
SYNTHESE
2011
12 years 12 months ago
2011
: 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...
CPM
2000
Springer
13 years 9 months ago
2000
Springer
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...