公开(公告)号：US09213946B1

公开(公告)日：2015-12-15

申请号：US13652926

申请日：2012-10-16

Applicant: Google Inc.

Inventor： Mark Chavira ,  Joseph Daverin

IPC: G06F15/00 ,  G06N99/00

CPC classification number: G06N99/005 ,  G06F17/30011 ,  G06F17/30705 ,  G06F17/30713

Abstract: Methods, systems and computer program products for evaluating performance of generative models are disclosed. One method includes providing a base model and a candidate model having observed variables and first and second conceptually related variables related to the observed variables, respectively, receiving observations assigned to a subset of the observed variables, and for each observation, evaluating the observation by the base model to produce a base assessment of the observation, evaluating the observation by the candidate model to produce a second assessment of the observation, determining a similarity measure of the assessment of the observation based on the base and second assessments, and selecting a subset of observations having low similarity measures for use in evaluating performance of the candidate model.

Abstract translation: 公开了用于评估生成模型性能的方法，系统和计算机程序产品。 一种方法包括提供基本模型和具有观察变量的候选模型和分别与所观察变量相关的第一和第二概念相关变量，接收分配给观测变量的子集的观察值，并且对于每个观察， 基准模型，以产生观察的基础评估，评估候选模型的观察值以产生观察的第二次评估，基于基础和第二评估确定观察评估的相似性度量，以及选择子集 具有低相似性度量的观察值用于评估候选模型的性能。