>>4
If you don't consider regular expressions, as poor as they are, "generic" what then qualifies?
Name:
Anonymous2011-01-08 16:26
>>5
Regular expressions may be applied rather for text recognition that what I'm interested (data from images, from sounds, or maybe even something else, that don't know now - that's why I would like to know if there is such way, now I know only AI can help).
Is there any generic approach for pattern recognition with neural networks?
Use SVMs or AdaBoost on simple classifiers or a HMM or something.
Name:
Anonymous2011-01-09 12:28
>>1
You may try to identify features of your data, elaborate some distance measure among each field, and finally assign a pattern label based on how close is your data to the model provided through your examples.
>>10 >>11
You're making it sound too simple for the OP.
Name:
Anonymous2011-01-09 13:35
It depends on the type of data you're attempting to recognize patterns within.
There are numerous techniques that can by synthesized together, but not all are applicable for all types of data and patterns. There isn't a silver-bullet method that solves all problems.