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» Learning Decision Lists Using Homogeneous Rules
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CHI
2009
ACM
14 years 8 months ago
Why and why not explanations improve the intelligibility of context-aware intelligent systems
Context-aware intelligent systems employ implicit inputs, and make decisions based on complex rules and machine learning models that are rarely clear to users. Such lack of system...
Brian Y. Lim, Anind K. Dey, Daniel Avrahami
GLOBECOM
2008
IEEE
14 years 2 months ago
Optimal Location Updates in Mobile Ad Hoc Networks: A Separable Cost Case
Abstract—We consider the location service in a mobile adhoc network (MANET), where each node needs to maintain its location information in the network by (i) frequently updating ...
Zhenzhen Ye, Alhussein A. Abouzeid
JCIT
2010
148views more  JCIT 2010»
13 years 2 months ago
Investigating the Performance of Naive- Bayes Classifiers and K- Nearest Neighbor Classifiers
Probability theory is the framework for making decision under uncertainty. In classification, Bayes' rule is used to calculate the probabilities of the classes and it is a bi...
Mohammed J. Islam, Q. M. Jonathan Wu, Majid Ahmadi...
GIS
1992
ACM
13 years 12 months ago
Machine Induction of Geospatial Knowledge
Machine learning techniques such as tree induction have become accepted tools for developing generalisations of large data sets, typically for use with production rule systems in p...
Peter A. Whigham, Robert I. McKay, J. R. Davis
IJCV
2000
164views more  IJCV 2000»
13 years 7 months ago
Probabilistic Modeling and Recognition of 3-D Objects
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
Joachim Hornegger, Heinrich Niemann