Machine Learning

Machine learning could be inspiring in the context of ubicomp systems. For example in improving context detection. However one current challenge is “unsupervised learning”, that is when the features of the target result are not known and only assumed (that’s often the case in uncontrolled ubicomp system). There are 4 major way to handle uncertain information:
- Baysian statistics (Gaussian processes)
- Probalistic models (Graphical model)
- Statistical learning (SVM (Support Vector Machine) perception)
- Symbolic learning
(Via 7.5th Floor.)
[tags]learning,info_hub,datamining[/tags]
