Patent AU-2020104033-A4 (AU)
Title: CDM- Separating Items Device: Separating Items into their Corresponding Class using Iris Dataset Machine Learning Classification Device
Inventor: KUMAR NARESH
IPC: G06K9/62
Filed: 2020-12-12
Granted: 2021-02-25
Abstract: Our Invention "CDM- Separating Items Device" is a system and article of 
manufacture enabling adapting to a shift in document content through iris 
interrupt and also includes instructions for receiving at least one labeled seed 
document. The invented technology receiving unlabeled documents receiving at 
least one predetermined cost factor training a transductive classifier using the at 
least one predetermined cost factor, the at least one seed document, and the 
unlabeled documents and also classifying the unlabeled documents having a 
confidence level above a predefined threshold into a plurality of categories using 
the classifier. The reclassifying at least some of the categorized documents into the 
categories using the classifier and outputting identifiers of the categorized 
documents to at least one of a user, another system and another process. The 
systems and articles of manufacture for separating documents are also presented.  
Systems and articles of manufacture for document searching are also presented. A 
method and system for generating a decision-tree classifier in parallel in a shared
memory multiprocessor system is disclosed and the processors first generate in 
the shared memory an attribute list for each record attribute. Each attribute list is 
assigned to a processor. The processors independently determine the best splits 
for their respective assigned lists, and cooperatively determine a global best split 
for all attribute lists. The attribute lists are reassigned to the processors and split 
according to the global best split into the lists for child nodes. The Invented 
process the split attribute lists are again assigned to the processors and the 
process is repeated for each new child node until each attribute list for the new 
child nodes includes only tuples of the same record class or a fixed number of 
tuples. The invented technology also devised systems, methods, and software that 
facilitate manual classification of headnotes and documents generally and hard-to
classify headnotes or and other required data. One exemplary system provides a 
graphical user interface that concurrently displays an unclassified headnote a 
ranked list of one or more candidate classes a candidate class in combination with 
adjacent classes of the classification system.  
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FIG. 1: IS A DEPICTION OF A CHART PLOTTING THE EXPECTED LABEL AS A FUNCTION OF THE 
CLASSIFICATION SCORE AS OBTAINED BY EMPLOYING MED DISCRIMINATIVE LEARNING APPLIED TO LABEL 
INDUCTION AND DATA SEPARATING THROUGH VOICE.