How it is different

In this section, we discuss why an attribute-value learner would not be able to cope with the domains being explored. Consider a simple conversion to a set of features. We could take each channel at each frame and treat it as an attribute. This would not really be effective because:

• An indeterminate number of features
• Many features, not enough data
• Strong attribute correlation
• Temporal mismatch