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1. 发明公开

EP1192595A2 ENHANCING KNOWLEDGE DISCOVERY FROM MULTIPLE DATA SETS USING MULTIPLE SUPPORT VECTOR MACHINES 有权
标题翻译：支持向量机几张唱片改善知识发现使用
公开(公告)号：EP1192595A2
公开(公告)日：2002-04-03
申请号：EP00936271.6
申请日：2000-05-24
申请人： Barnhill, Stephen D.
发明人： Barnhill, Stephen D.
IPC分类号： G06N1/00
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.

2. 发明授权

EP1192595B1 ENHANCING KNOWLEDGE DISCOVERY FROM MULTIPLE DATA SETS USING MULTIPLE SUPPORT VECTOR MACHINES 有权
标题翻译：支持向量机几张唱片改善知识发现使用
公开(公告)号：EP1192595B1
公开(公告)日：2005-11-30
申请号：EP00936271.6
申请日：2000-05-24
申请人： Barnhill, Stephen D.
发明人： Barnhill, Stephen D.
IPC分类号： G06N1/00
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.

3. 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.

4. 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

5. 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.

6. 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.

7. 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.

8. 发明申请

WO2011156415A2 ANTIMICROBIAL COMPOSITION AND METHOD FOR USING SAME 审中-公开
标题翻译：抗微生物组合物及其使用方法
公开(公告)号：WO2011156415A2
公开(公告)日：2011-12-15
申请号：PCT/US2011/039504
申请日：2011-06-07
申请人： BARNHILL, Stephen D., Jr. , INTELLIGENT AROMAS, LLC
发明人： BARNHILL, Stephen D., Jr.
IPC分类号： A01N25/02 , A01N65/00 , A01N65/22 , A01P1/00
CPC分类号： A01N65/00 , A01N31/02 , A01N65/22 , A01N65/28 , A01N2300/00 , A01N65/08 , A01N65/36
摘要： The compositions of the invention are comprised of three key elements: ethyl alcohol, essential oils, and water, which are mixed to provide a sprayable liquid that may be dispensed using a conventional pump spray or other appropriate dispenser. The major component is ethyl alcohol. The preferred essential oils are tea tree oil and peppermint oil. The composition is applied to a surface suspected of having harmful microbes thereon as a spray.
摘要翻译：本发明的组合物包括三个关键元素：乙醇，精油和水，它们被混合以提供可使用常规泵喷雾或其它合适的分配器分配的可喷雾液体。主要成分是乙醇。优选的精油是茶树油和薄荷油。将组合物作为喷雾施用于其上有害微生物的表面。

9. 发明申请

WO2011156415A3 ANTIMICROBIAL COMPOSITION AND METHOD FOR USING SAME 审中-公开
标题翻译：抗微生物组合物及其使用方法
公开(公告)号：WO2011156415A3
公开(公告)日：2012-04-19
申请号：PCT/US2011039504
申请日：2011-06-07
申请人： BARNHILL STEPHEN D JR , INTELLIGENT AROMAS LLC
发明人： BARNHILL STEPHEN D JR
IPC分类号： A01N25/02 , A01N65/00 , A01N65/22 , A01P1/00
CPC分类号： A01N65/00 , A01N31/02 , A01N65/22 , A01N65/28 , A01N2300/00 , A01N65/08 , A01N65/36
摘要： The compositions of the invention are comprised of three key elements: ethyl alcohol, essential oils, and water, which are mixed to provide a sprayable liquid that may be dispensed using a conventional pump spray or other appropriate dispenser. The major component is ethyl alcohol. The preferred essential oils are tea tree oil and peppermint oil. The composition is applied to a surface suspected of having harmful microbes thereon as a spray.
摘要翻译：本发明的组合物包括三个关键元素：乙醇，精油和水，它们被混合以提供可使用常规泵喷雾或其它合适的分配器分配的可喷雾液体。主要成分是乙醇。优选的精油是茶树油和薄荷油。将组合物作为喷雾施用于其上有害微生物的表面。

10. 发明申请

WO2011087807A2 SYSTEM AND METHOD FOR REMOTE MELANOMA SCREENING 审中-公开
标题翻译：用于远程黑色素瘤筛选的系统和方法
公开(公告)号：WO2011087807A2
公开(公告)日：2011-07-21
申请号：PCT/US2010/061667
申请日：2010-12-21
申请人： HEALTH DISCOVERY CORPORATION , GUYON, Isabelle , BARNHILL, Stephen, D.
发明人： GUYON, Isabelle , BARNHILL, Stephen, D.
CPC分类号： A61B5/0059 , A61B5/0091 , A61B5/415 , A61B5/418 , A61B5/444 , A61B5/6887 , A61B5/6898 , A61B5/7267 , G06F19/00 , 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，用于利用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训练有素的学习机器，用于分类恶性和良性皮肤病变的图像。用户提供的图像被预处理以提取尺寸，形状和颜色特征，然后使用训练的学习机器对其进行处理以分类疑似病变。对分类结果进行后处理以生成传送给远程用户的风险分数。与服务器相关联的数据库包括用于在地理上使远程用户与本地医生匹配的推荐信息，用于治疗皮肤癌并向用户提供联系信息。可选操作包括收集财务信息以确保分析服务的付款。

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