Sciweavers

22 search results - page 1 / 5
» How to Explain Individual Classification Decisions
Sort
View
JMLR
2010
104views more  JMLR 2010»
13 years 2 months 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,...
CHI
2011
ACM
12 years 11 months ago
Informing decisions: how people use online rating information to make choices
In this paper we investigate how people use online rating information to inform decision making. We examine whether a theory of searching for information to discriminate between a...
Stelios Lelis, Andrew Howes
APIN
2008
110views more  APIN 2008»
13 years 7 months ago
Explaining inferences in Bayesian networks
While Bayesian network (BN) can achieve accurate predictions even with erroneous or incomplete evidence, explaining the inferences remains a challenge. Existing approaches fall sh...
Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang
INTERACT
2003
13 years 9 months ago
Does an Individual's Myers-Briggs Type Indicator Preference Influence Task-Oriented Technology Use?
: Technology innovators face the challenge of finding representative groups of users to participate in design activities. In some cases, software applications will target an audien...
Pamela J. Ludford, Loren G. Terveen
FOIKS
2010
Springer
13 years 5 months ago
Two Complementary Classification Methods for Designing a Concept Lattice from Interval Data
This paper holds on the application of two classification methods based on formal concept analysis (FCA) to interval data. The first method uses a similarity between objects while ...
Mehdi Kaytoue-Uberall, Zainab Assaghir, Nizar Mess...