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1. 发明专利

AT311635T 未知
公开(公告)号：AT311635T
公开(公告)日：2005-12-15
申请号：AT00936271
申请日：2000-05-24
申请人： BARNHILL STEPHEN D
发明人： BARNHILL STEPHEN D
IPC分类号： G06N3/00 , G06F9/44 , G06F15/18 , G06K9/62 , G06N5/04 , G06N99/00 , G06N1/00
摘要： A system and method for enhancing knowledge discovery from data using multiple learning machines in general and multiple support vector machines in particular. Training data for a learning machine is pre-processed in order to add meaning thereto. Pre-processing data may involve transforming the data points and/or expanding the data points. By adding meaning to the data, the learning machine is provided with a greater amount of information for processing. With regard to support vector machines in particular, the greater the amount of information that is processed, the better generalizations about the data that may be derived. Multiple support vector machines, each comprising distinct kernels, are trained with the pre-processed training data and are tested with test data that is pre-processed in the same manner. The test outputs from multiple support vector machines are compared in order to determine which of the test outputs if any represents a optimal solution. Selection of one or more kernels may be adjusted and one or more support vector machines may be retrained and retested. Optimal solutions based on distinct input data sets may be combined to form a new input data set to be input into one or more additional support vector machine.

2. 发明专利

NO20015723A 未知
公开(公告)号：NO20015723A
公开(公告)日：2002-01-23
申请号：NO20015723
申请日：2001-11-23
申请人： BARNHILL STEPHEN D
发明人： BARNHILL STEPHEN D
IPC分类号： G06N3/00 , G06F9/44 , G06F15/18 , G06K9/62 , G06N5/04 , G06N99/00 , G06N5/00
CPC分类号： G06K9/6269 , G06K9/6256 , G06N99/005

3. 发明专利

DE60024452D1 未知
公开(公告)号：DE60024452D1
公开(公告)日：2006-01-05
申请号：DE60024452
申请日：2000-05-24
申请人： BARNHILL STEPHEN D
发明人： BARNHILL STEPHEN D
IPC分类号： G06N3/00 , G06F9/44 , G06F15/18 , G06K9/62 , G06N5/04 , G06N99/00
摘要： A system and method for enhancing knowledge discovery from data using multiple learning machines in general and multiple support vector machines in particular. Training data for a learning machine is pre-processed in order to add meaning thereto. Pre-processing data may involve transforming the data points and/or expanding the data points. By adding meaning to the data, the learning machine is provided with a greater amount of information for processing. With regard to support vector machines in particular, the greater the amount of information that is processed, the better generalizations about the data that may be derived. Multiple support vector machines, each comprising distinct kernels, are trained with the pre-processed training data and are tested with test data that is pre-processed in the same manner. The test outputs from multiple support vector machines are compared in order to determine which of the test outputs if any represents a optimal solution. Selection of one or more kernels may be adjusted and one or more support vector machines may be retrained and retested. Optimal solutions based on distinct input data sets may be combined to form a new input data set to be input into one or more additional support vector machine.

4. 发明专利

NO20015723L 未知
公开(公告)号：NO20015723L
公开(公告)日：2002-01-23
申请号：NO20015723
申请日：2001-11-23
申请人： BARNHILL STEPHEN D
发明人： BARNHILL STEPHEN D
IPC分类号： G06N3/00 , G06F9/44 , G06F15/18 , G06K9/62 , G06N5/04 , G06N99/00 , G06N5/00
摘要： A system and method for enhancing knowledge discovery from data using multiple learning machines in general and multiple support vector machines in particular. Training data for a learning machine is pre-processed in order to add meaning thereto. Pre-processing data may involve transforming the data points and/or expanding the data points. By adding meaning to the data, the learning machine is provided with a greater amount of information for processing. With regard to support vector machines in particular, the greater the amount of information that is processed, the better generalizations about the data that may be derived. Multiple support vector machines, each comprising distinct kernels, are trained with the pre-processed training data and are tested with test data that is pre-processed in the same manner. The test outputs from multiple support vector machines are compared in order to determine which of the test outputs if any represents a optimal solution. Selection of one or more kernels may be adjusted and one or more support vector machines may be retrained and retested. Optimal solutions based on distinct input data sets may be combined to form a new input data set to be input into one or more additional support vector machine.

5. 发明专利

NO20015723D0 未知
公开(公告)号：NO20015723D0
公开(公告)日：2001-11-23
申请号：NO20015723
申请日：2001-11-23
申请人： BARNHILL STEPHEN D
发明人： BARNHILL STEPHEN D
IPC分类号： G06N3/00 , G06F9/44 , G06F15/18 , G06K9/62 , G06N5/04 , G06N99/00 , G06N
摘要： A system and method for enhancing knowledge discovery from data using multiple learning machines in general and multiple support vector machines in particular. Training data for a learning machine is pre-processed in order to add meaning thereto. Pre-processing data may involve transforming the data points and/or expanding the data points. By adding meaning to the data, the learning machine is provided with a greater amount of information for processing. With regard to support vector machines in particular, the greater the amount of information that is processed, the better generalizations about the data that may be derived. Multiple support vector machines, each comprising distinct kernels, are trained with the pre-processed training data and are tested with test data that is pre-processed in the same manner. The test outputs from multiple support vector machines are compared in order to determine which of the test outputs if any represents a optimal solution. Selection of one or more kernels may be adjusted and one or more support vector machines may be retrained and retested. Optimal solutions based on distinct input data sets may be combined to form a new input data set to be input into one or more additional support vector machine.

6. 发明申请

WO0072257A3 ENHANCING KNOWLEDGE DISCOVERY FROM MULTIPLE DATA SETS USING MULTIPLE SUPPORT VECTOR MACHINES 审中-公开
标题翻译：使用多个支持向量机从多个数据集增强知识发现
公开(公告)号：WO0072257A3
公开(公告)日：2002-01-03
申请号：PCT/US0014326
申请日：2000-05-24
申请人： BARNHILL STEPHEN D
发明人： BARNHILL STEPHEN D
IPC分类号： G06N3/00 , G06F9/44 , G06F15/18 , G06K9/62 , G06N5/04 , G06N99/00
CPC分类号： G06K9/6269 , G06K9/6256 , G06N99/005
摘要： A system and method for enhancing knowledge discovery from data using multiple learning machines in general and multiple support vector machines in particular. Training data for a learning machine is pre-processed in order to add meaning thereto. Pre-processing data may involve transforming the data points and/or expanding the data points. By adding meaning to the data, the learning machine is provided with a greater amount of information for processing. With regard to support vector machines in particular, the greater the amount of information that is processed, the better generalizations about the data that may be derived. Multiple support vector machines, each comprising distinct kernels, are trained with the pre-processed training data and are tested with test data that is pre-processed in the same manner. The test outputs from multiple support vector machines are compared in order to determine which of the test outputs if any represents a optimal solution. Selection of one or more kernels may be adjusted and one or more support vector machines may be retrained and retested. Optimal solutions based on distinct input data sets may be combined to form a new input data set to be input into one or more additional support vector machine.
摘要翻译：一种用于通过使用多个学习机器的数据来增强知识发现的系统和方法，特别是多个支持向量机。学习机器的训练数据被预先处理，以便增加其意义。预处理数据可能涉及变换数据点和/或扩展数据点。通过增加数据的含义，学习机器被提供更多的处理信息。特别是对于支持向量机，处理的信息量越大，可能推导出的数据越好。每个包含不同内核的多个支持向量机用预处理的训练数据进行训练，并用以相同方式预处理的测试数据进行测试。比较来自多个支持向量机的测试输出，以确定哪个测试输出（如果有的话）代表最优解。可以调整一个或多个内核的选择，并且可以对一个或多个支持向量机进行再培训和再测试。可以组合基于不同输入数据集的最佳解决方案以形成要输入到一个或多个附加支持向量机的新输入数据集。

7. 发明申请

WO2011087807A3 SYSTEM AND METHOD FOR REMOTE MELANOMA SCREENING 审中-公开
标题翻译：远程墨西哥筛选系统和方法
公开(公告)号：WO2011087807A3
公开(公告)日：2011-11-17
申请号：PCT/US2010061667
申请日：2010-12-21
申请人： HEALTH DISCOVERY CORP , GUYON ISABELLE , BARNHILL STEPHEN D
发明人： GUYON ISABELLE , BARNHILL STEPHEN D
IPC分类号： A61B5/00 , A61B5/06 , G06F19/00 , G06Q50/00
CPC分类号： A61B5/0059 , A61B5/0091 , A61B5/415 , A61B5/418 , A61B5/444 , A61B5/6887 , A61B5/6898 , A61B5/7267 , G06F19/3418 , G16H50/30
摘要： A system and method are provided for diagnosing melanoma from digital images taken by a remote user with a smart phone or a digital camera and transmitted to an image analysis server in communication with a distributed network. The image analysis server includes a trained learning machine for classification of images of malignant and benign skin lesions. The user-provided image is pre-processed to extract dimensional, shape and color features then is processed using the trained learning machine to classify the suspected lesion. The classification result is postprocessed to generate a risk score that is transmitted to the remote user. A database associated with the server includes referral information for geographically matching the remote user with a local physician for treating skin cancer and providing contact information to the user. An optional operation includes collection of financial information to secure payment for analysis services.
摘要翻译：提供了一种系统和方法，用于通过智能电话或数字照相机从远程用户拍摄的数字图像中诊断黑素瘤，并将其传输到与分布式网络通信的图像分析服务器。图像分析服务器包括用于分类恶性和良性皮肤损伤图像的训练学习机。用户提供的图像被预处理以提取尺寸，形状和颜色特征，然后使用训练学习机处理以对可疑病变进行分类。分类结果进行后处理，以产生传送给远程用户的风险评分。与服务器相关联的数据库包括用于将远程用户与当地医师地理上匹配以用于治疗皮肤癌并向用户提供联系人信息的引荐信息。可选操作包括收集财务信息以确保分析服务的支付。

8. 发明申请

WO0131580A3 METHODS AND DEVICES FOR IDENTIFYING PATTERNS IN BIOLOGICAL SYSTEMS 审中-公开
标题翻译：用于识别生物系统中的模式的方法和装置
公开(公告)号：WO0131580A3
公开(公告)日：2002-07-11
申请号：PCT/US0029770
申请日：2000-10-27
申请人： BIOWULF TECHNOLOGIES LLC , BARNHILL STEPHEN D , GUYON ISABELLE , WESTON JASON
发明人： BARNHILL STEPHEN D , GUYON ISABELLE , WESTON JASON
IPC分类号： G01N33/53 , A61K45/00 , A61P35/00 , C12M1/00 , C12M1/34 , C12N15/09 , C12Q1/68 , G01N33/566 , G06F19/24 , G06K9/62 , G06N99/00 , G06F19/00 , G06F15/18
CPC分类号： G06K9/6256 , G06F19/20 , G06F19/24 , G06K9/6269 , Y02A90/26
摘要： The methods, systems and devices of the present invention comprise use of support vector machines for the identification of patterns that are important for medical diagnosis, prognosis and treatment. Such patterns may be found in many different datasets. The present invention also comprises methods and compositions for the treatment and diagnosis of medical conditions.
摘要翻译：本发明的方法，系统和装置包括使用支持向量机来识别对医学诊断，预后和治疗重要的模式。这种模式可以在许多不同的数据集中找到。本发明还包括用于治疗和诊断医学病症的方法和组合物。

9. 发明申请

WO0131579A3 METHODS AND DEVICES FOR IDENTIFYING PATTERNS IN BIOLOGICAL PATTERNS 审中-公开
标题翻译：用于识别生物模式中的模式的方法和装置
公开(公告)号：WO0131579A3
公开(公告)日：2002-07-11
申请号：PCT/US0029712
申请日：2000-10-27
申请人： BARNHILL TECHNOLOGIES LLC , BARNHILL STEPHEN D , GUYON ISABELLE , WESTON JASON
发明人： BARNHILL STEPHEN D , GUYON ISABELLE , WESTON JASON
IPC分类号： G06F19/00 , G06F19/20 , G06F19/24 , G06K9/62 , G06F15/18
CPC分类号： G06K9/6256 , G06F19/20 , G06F19/24 , G06F19/328 , G06K9/6231 , G16H10/40 , G16H50/70 , Y02A90/26
摘要： The methods, systems and devices of the present invention comprise use of support vector machines for the identification of patterns that are important for medical diagnosis, prognosis and treatment. Such patterns may be found in many different datasets. The present invention also comprises methods and compositions for the treatment and diagnosis of medical conditions.
摘要翻译：本发明的方法，系统和装置包括使用支持向量机来识别对医学诊断，预后和治疗重要的模式。这种模式可以在许多不同的数据集中找到。本发明还包括用于治疗和诊断医学病症的方法和组合物。

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