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1. 发明授权

US09449283B1 Selecting a training strategy for training a machine learning model 有权
标题翻译：选择训练机器学习模型的培训策略
公开(公告)号：US09449283B1
公开(公告)日：2016-09-20
申请号：US13969364
申请日：2013-08-16
申请人： Context Relevant, Inc.
发明人： Stephen Purpura , James E. Walsh , Dustin Lundring Rigg Hillard
IPC分类号： G06F15/18 , G06N99/00 , G06N7/00 , G06K9/62 , G06N5/02
CPC分类号： G06N99/005 , G06K9/6256 , G06K9/6269 , G06N5/025 , G06N7/005
摘要： Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a machine learning model. One of the methods includes performing experiments to select a training strategy for use in training the model on a particular data set. The selected training strategy includes a binning strategy for binning the raw feature vectors before the raw feature vectors are provided to the predictive model.
摘要翻译：方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于训练机器学习模型。其中一种方法包括执行实验以选择用于在特定数据集上训练模型的训练策略。所选择的训练策略包括在将原始特征向量提供给预测模型之前对原始特征向量进行合并的组合策略。

2. 发明授权

US09454733B1 Training a machine learning model 有权
标题翻译：训练机器学习模型
公开(公告)号：US09454733B1
公开(公告)日：2016-09-27
申请号：US13968231
申请日：2013-08-15
申请人： Context Relevant, Inc.
发明人： Stephen Purpura , James E. Walsh , Dustin Lundring Rigg Hillard
IPC分类号： G06N7/00 , G06N99/00 , G06N7/08
CPC分类号： G06N99/005 , G06N7/00 , G06N7/08
摘要： 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.
摘要翻译：方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于训练机器学习模型。其中一种方法包括接收一套完整的训练数据; 接收指令以训练在所述整套训练数据的初始子集上具有多个参数的预测模型; 训练初始子集上的预测模型; 在对所述初始子集训练所述预测模型之后，存储表示所述预测模型的第一状态的数据; 接收更新的参数值和指令以训练关于完整训练数据集合的新子集的预测模型; 并对新子集进行预测模型的训练。

3. 发明授权

US09336494B1 Re-training a machine learning model 有权
标题翻译：重新培养机器学习模式
公开(公告)号：US09336494B1
公开(公告)日：2016-05-10
申请号：US13969193
申请日：2013-08-16
申请人： Context Relevant, Inc.
发明人： Stephen Purpura , James E. Walsh , Dustin Lundring Rigg Hillard
IPC分类号： G06N99/00
CPC分类号： G06N99/005
摘要： Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training machine learning models. The models can include models for predicting a next transaction price or a next transaction price direction for one or more financial products, for classifying particular debit or credit card transactions as likely being anomalous or fraudulent or not, or for classifying particular financial claims processing transactions, e.g., insurance, health care, or employee expense claims transactions, as likely being anomalous or fraudulent or not.
摘要翻译：方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于训练机器学习模型。这些模型可以包括用于预测一个或多个金融产品的下一个交易价格或下一个交易价格方向的模型，用于将特定的借记卡或信用卡交易分类为可能是异常或欺诈的，或者用于对特定的财务索赔处理交易进行分类，例如，保险，医疗保健或员工费用索赔交易，可能是异常或欺诈。

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