Multi-layer information fusing for prediction

A computer system configured to generate a predictor to classify data, the system comprising:

• a memory storing a computer program;
• and
• a processor configured to execute the computer program,
• wherein the computer program is configured to train each of a plurality of first classifiers arranged in a first level on current training data, operate each classifier of the first level on the training data to generate a plurality of predictions, combine the current training data with the predictions to generated new training data, and train each of a plurality of second classifiers arranged in a second level on the new training data,
• wherein the first classifiers are classifiers of different classifier types, respectively and the second classifiers are classifiers of the different classifier types, respectively.

A computer program product configured to generate a predictor to classify data, the program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to perform a method comprising:

• training each of a plurality of first classifiers arranged in a first level on current training data;
• operating each classifier of the first level on the training data to generate a plurality of predictions;
• combining the current training data with the predictions to generated new training data;
• and
• training each of a plurality of second classifiers arranged in a second level on the new training data,
• wherein the first classifiers are classifiers of different classifier types, respectively and the second classifiers are classifiers of the different classifier types, respectively.

A method of generating a predictor to classify data, the method comprising:

• splitting current training data into first and second training data;
• training each of a plurality of first classifiers arranged in a first level on the first training data;
• operating each classifier of the first level on the second training data to generate first fused data;
• training each classifier of the first level on the second training data;
• operating each classifier of the first level on the first training data to generate second fused data;
• combining the first fused data with the second fused data to generate new training data;
• and
• training each of a plurality of second classifiers arranged in a second level on the new training data,
• wherein the first classifiers are classifiers of different classifier types, respectively and the second classifiers are classifiers of the different classifier types, respectively.

A computer program product configured to generate a predictor to classify data, the program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to perform a method comprising:

• splitting current training data into first and second training data;
• training each of a plurality of first classifiers arranged in a first level on the first training data;
• operating each classifier of the first level on the second training data to generate first fused data;
• training each classifier of the first level on the second training data;
• operating each classifier of the first level on the first training data to generate second fused data;
• combining the first fused data with the second fused data to generate new training data;
• and
• training each of a plurality of second classifiers arranged in a second level on the new training data,
• wherein the first classifiers are classifiers of different classifier types, respectively and the second classifiers are classifiers of the different classifier types, respectively