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NIPS
2001
11 years 8 months ago
K-Local Hyperplane and Convex Distance Nearest Neighbor Algorithms
Guided by an initial idea of building a complex (non linear) decision surface with maximal local margin in input space, we give a possible geometrical intuition as to why K-Neares...
Pascal Vincent, Yoshua Bengio
ITRUST
2004
Springer
12 years 8 hour ago
Analysing the Relationship between Risk and Trust
Among the various human factors impinging upon making a decision in an uncertain environment, risk and trust are surely crucial ones. Several models for trust have been proposed in...
Audun Jøsang, Stéphane Lo Presti
EWCBR
2004
Springer
12 years 1 days ago
Explanation Oriented Retrieval
This paper is based on the observation that the nearest neighbour in a case-based prediction system may not be the best case to explain a prediction. This observation is based on t...
Dónal Doyle, Padraig Cunningham, Derek G. B...
ECML
2004
Springer
12 years 1 days ago
Sensitivity Analysis of the Result in Binary Decision Trees
This paper 3 proposes a new method to qualify the result given by a decision tree when it is used as a decision aid system. When the data are numerical, we compute the distance of ...
Isabelle Alvarez
ECAI
2004
Springer
12 years 1 days ago
Explaining the Result of a Decision Tree to the End-User
This paper addresses the problem of the explanation of the result given by a decision tree, when it is used to predict the class of new cases. In order to evaluate this result, the...
Isabelle Alvarez
books