Invention Grant
US07844567B2 System and method for selecting a training sample from a sample test based on data sample proximity
有权
基于数据样本接近度从样本测试中选择训练样本的系统和方法
- Patent Title: System and method for selecting a training sample from a sample test based on data sample proximity
- Patent Title (中): 基于数据样本接近度从样本测试中选择训练样本的系统和方法
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Application No.: US11837570Application Date: 2007-08-13
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Publication No.: US07844567B2Publication Date: 2010-11-30
- Inventor: Xiaofei He , Wei Vivian Zhang
- Applicant: Xiaofei He , Wei Vivian Zhang
- Applicant Address: US CA Sunnyvale
- Assignee: Yahoo! Inc.
- Current Assignee: Yahoo! Inc.
- Current Assignee Address: US CA Sunnyvale
- Agency: Ostrow Kaufman LLP
- Agent Seth H. Ostrow
- Main IPC: G06F17/00
- IPC: G06F17/00 ; G06N7/00 ; G06N7/08

Abstract:
Described are a system and method for selecting a training sample from a sample set. The method comprises determining proximities between all data samples in a set of the data samples, forming edges between the data samples as a function of the proximities, computing weights for the edges as a function of the proximities, selecting a plurality of the data samples as a function of the weights to form a subset of the data samples, and storing the subset of the data samples.
Public/Granted literature
- US20090049002A1 SYSTEM AND METHOD FOR SELECTING A TRAINING SAMPLE FROM A SAMPLE TEST Public/Granted day:2009-02-19
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