Probabilistic learning element

Details Probabilistic learning element Probabilistic learning element

G - Physics

06

F

354/143

G06F 15/18 (2006.01) G06K 9/62 (2006.01)

Patent

CA 1232358

ABSTRACT OF THE DISCLOSURE A probabilistic learning element for performing task independent sequential pattern recognition. Said element receives sequences of objects and outputs sequences of recognized states composed of objects. A plurality of memory means are utilized to store the received objects in sequence and for storing in context learned information including previously learned states, objects contained in previously learned states, positional information for each object in a learned state and other predetermined types of knowledge relating to the previously learned states and the objects contained therein. The element correlates the sequences of received objects with the learned information relating to previously learned states for providing conditional probabilities to possible sequences of recognized states. The most likely state sequence is determined and outputted at a recognized sequence when the element detects that a state has ended. The memory for storing learned information is a context organized memory including a plurality of tree structures having various types of information stored in the nodes thereof with certain of said tree structures including at each node an attribute list referring to other tree structures whereby searching is facilitated and unnecessary searching eliminated. The element derives support coefficients relating to how much information was available when calculating the conditional probabilities and said support coefficients and conditional probabilities are combined to provide a rating of confidence. When the rating of confidence exceeds a predetermined level, the element is caused to store the outputted recognized state sequence as a learned state sequence with said memories storing the various types of knowledge relating to said learned sequence of states.

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