TRAINING CLASSES ON ENVIRONMENTAL TOPICS

Brand Owner Address Description
M Gallagher & Associates, Inc. 12596 West Bayaud Ave., Suite 210 Lakewood CO 80228 TRAINING CLASSES ON ENVIRONMENTAL TOPICS, HAZARDOUS WASTE REGULATIONS AND THE RESOURCE CONSERVATION AND RECOVERY ACT OF 1976; SEMINARS ON ENVIRONMENTAL TOPICS, HAZARDOUS WASTE REGULATIONS AND THE RESOURCE CONSERVATION AND RECOVERY ACT OF 1976; DISTRIBUTION OF PRINTED MATERIALS IN CONNECTION WITH TRAINING CLASSES ON ENVIRONMENTAL TOPICS AND SEMINARS ON ENVIRONMENTAL TOPICS, HAZARDOUS WASTE REGULATIONS AND THE RESOURCE CONSERVATION AND RECOVERY ACT OF 1976;The mark consists of a stylized M design in white with a stylized black background.;PRINTED SEMINAR NOTES ON ENVIRONMENTAL TOPICS, HAZARDOUS WASTE REGULATIONS AND THE RESOURCE CONSERVATION AND RECOVERY ACT OF 1976; BOOKS ON ENVIRONMENTAL TOPICS, HAZARDOUS WASTE REGULATIONS AND THE RESOURCE CONSERVATION AND RECOVERY ACT OF 1976; JOURNALS ON ENVIRONMENTAL TOPICS, HAZARDOUS WASTE REGULATIONS AND THE RESOURCE CONSERVATION AND RECOVERY ACT OF 1976; PRINTED INSTRUCTIONAL, EDUCATIONAL AND TEACHING MATERIALS ON ENVIRONMENTAL TOPICS, HAZARDOUS WASTE REGULATIONS AND THE RESOURCE CONSERVATION AND RECOVERY ACT OF 1976; SERIES OF NONFICTION BOOKS IN THE FIELD OF ENVIRONMENTAL, SAFETY, HEALTH REGULATIONS, HAZARDOUS WASTE REGULATIONS AND THE RESOURCE CONSERVATION AND RECOVERY ACT OF 1976;Color is not claimed as a feature of the mark.;
 

Where the owner name is not linked, that owner no longer owns the brand

   
Technical Examples
  1. The present invention recites a method and computer program product for identifying one or more new pattern classes and incorporating the classes into a pattern recognition classifier as output classes. A plurality of input patterns determined not to be associated with any of a set of at least one represented output class by a pattern recognition classifier are rejected. The rejected pattern samples are then grouped into clusters according to the similarities between the pattern samples. Clusters that represent new pattern classes are identified via independent review. The classifier is then retrained to include the new pattern classes as output classes.