Training a machine learning model

Number of patents in Portfolio can not be more than 2000

United States of America Patent

PATENT NO 9454733
SERIAL NO

13968231

Stats

ATTORNEY / AGENT: (SPONSORED)

Importance

Loading Importance Indicators... loading....

Abstract

See full text

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a machine learning model. One of the methods includes receiving a complete set of training data; receiving instructions to train a predictive model having a plurality of parameters on an initial subset of the complete set of training data; training the predictive model on the initial subset; storing data representing a first state of the predictive model after training the predictive model on the initial subset; receiving updated parameter values and instructions to train the predictive model on a new subset of the complete set of training data; and training the predictive model on the new subset.

Loading the Abstract Image... loading....

First Claim

See full text

Family

Loading Family data... loading....

Patent Owner(s)

Patent OwnerAddress
ESENTIRE INC278 PINEBUSH ROAD SUITE 200 CAMBRIDGE N1T 1Z6

International Classification(s)

  • [Classification Symbol]
  • [Patents Count]

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Hillard, Dustin Lundring Rigg Seattle, US 5 149
Purpura, Stephen Seattle, US 3 57
Walsh, James E Woodinville, US 29 1152

Cited Art Landscape

Load Citation

Patent Citation Ranking

Forward Cite Landscape

Load Citation

Maintenance Fees

Fee Large entity fee small entity fee micro entity fee due date
11.5 Year Payment $7400.00 $3700.00 $1850.00 Mar 27, 2028
Fee Large entity fee small entity fee micro entity fee
Surcharge - 11.5 year - Late payment within 6 months $160.00 $80.00 $40.00
Surcharge after expiration - Late payment is unavoidable $700.00 $350.00 $175.00
Surcharge after expiration - Late payment is unintentional $1,640.00 $820.00 $410.00