专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明申请

WO2009091595A3 SYSTEM AND METHOD FOR PRIVACY PRESERVING PREDICTIVE MODELS FOR LUNG CANCER SURVIVAL ANALYSIS 审中-公开
标题翻译：用于肺癌预防分析的预防性预防模型的隐私保护系统和方法
公开(公告)号：WO2009091595A3
公开(公告)日：2009-11-12
申请号：PCT/US2009000313
申请日：2009-01-16
申请人： SIEMENS MEDICAL SOLUTIONS , MAASTRO CLINIC , FUNG GLENN , RAO R BHARAT , KRISHNAN SRIRAM , YU SHIPENG , DEHING-OBERIJE CARY , LAMBIN PHILLIPPE , DE RUYSSCHER DIRK
发明人： FUNG GLENN , RAO R BHARAT , KRISHNAN SRIRAM , YU SHIPENG , DEHING-OBERIJE CARY , LAMBIN PHILLIPPE , DE RUYSSCHER DIRK
IPC分类号： G06K9/62 , G06F21/00
CPC分类号： G06K9/62 , G06F21/6254 , G06K9/6215 , G06K9/6232 , G06K9/6269 , G16H50/20 , G16H50/70
摘要： A computer-implemented method for privacy-preserving data mining to determine cancer survival rates includes providing (21) a random matrix B agreed to by a plurality of entities, wherein each entity i possesses a data matrix A i of cancer survival data that is not publicly available, providing (22) a class matrix D i for each of the data matrices A i , providing (23) a kernel K(A i , B) by each of said plurality of entities to allow public computation of a full kernel, and computing a(24) binary classifier that incorporates said public full kernel, wherein said classifier is adapted to classify (25) a new data vector according to a sign of said classifier.
摘要翻译：用于隐私保护数据挖掘以确定癌症存活率的计算机实现方法包括提供（21）由多个实体同意的随机矩阵B，其中每个实体i拥有不是的癌症存活数据的数据矩阵A i 为每个数据矩阵A i提供（22）类矩阵D i，提供（23）由所述多个实体中的每一个实体的核K（A i，B），以允许公共计算完整内核，以及计算包含所述公共完整内核的（24）二进制分类器，其中所述分类器适于根据所述分类器的符号对（25）新的数据向量进行分类。

2. 发明申请

WO2007103185A3 SUSTAINED RELEASE DOSAGE FORMS OF ANALAGESIC MEDICATIONS 审中-公开
标题翻译：可持续发放药物剂量形式
公开(公告)号：WO2007103185A3
公开(公告)日：2008-03-20
申请号：PCT/US2007005379
申请日：2007-02-28
申请人： UNIV TENNESSEE RES FOUNDATION , SHUKLA ATUL J , JOHNSON JAMES R , SUN YICHUN , PENG YINGXU , YU SHIPENG , QU WEN , MANDRELL TIMOTHY D
发明人： SHUKLA ATUL J , JOHNSON JAMES R , SUN YICHUN , PENG YINGXU , YU SHIPENG , QU WEN , MANDRELL TIMOTHY D
IPC分类号： A61K31/44
CPC分类号： A61K31/485 , A61K9/0019
摘要： Parenteral extravascular administration of a composition containing an analgesic medication of low water solubility that is dissolved, suspended, or emulsified in a solvent system results in the deposition of the analgesic medication at the site of administration and provides a controlled release of the analgesic medication from the site and a prolonged analgesia that may persist for several days following administration.
摘要翻译：包含在溶剂体系中溶解，悬浮或乳化的含有低水溶性的镇痛药物的组合物的肠外外血管内给药导致镇痛药物在给药部位的沉积，并提供止痛药物的控制释放部位和长时间的镇痛可能持续数日后给药。

3. 发明申请

WO2006037747A2 METHOD FOR STRUCTURING A DATA STOCK THAT IS STORED ON AT LEAST ONE STORAGE MEDIUM 审中-公开
标题翻译：分类程序至少一个存储介质存储的作物的
公开(公告)号：WO2006037747A2
公开(公告)日：2006-04-13
申请号：PCT/EP2005054891
申请日：2005-09-28
申请人： SIEMENS AG , TRESP VOLKER , YU KAI , YU SHIPENG
发明人： TRESP VOLKER , YU KAI , YU SHIPENG
IPC分类号： G06F17/30
CPC分类号： G06K9/6226 , G06F17/18
摘要： The invention relates to a non-parametric Bayes method for analysing data records, in which elements occur with a specific frequency. The installed model retains the size of earlier extensions, in which latent factors of each data record (e.g. themes of documents) were investigated, whilst at the same time permitting the investigation of the cluster structures of data records, which reflect the statistical dependency of the latent factors. Compared to parametric Bayes modelling, the non-parametric model that is induced by a Dirichlet process (DP) is sufficiently flexible to reveal the data structure. Instead of having to use the Markov chain Monte Carlo (MCMC), which is slow with our specifications, the inventive method introduces an efficient variational inference, which is based on a finite, highly-dimensioned approximation of (DP).
摘要翻译：该专利描述了一种用于数据集，其中，以一定的频率发生的元素的分析的非参数贝叶斯法。引进的模型保留了以前的方法对每个数据集的潜在因素进行了检查（文件ž。B.主题）的实力，但同时允许反映潜在因素之间的统计相关记录的集群结构的调查。与参数贝叶斯建模相比是通过诱导非参数模型灵活，因为必要的数据的结构的Dirichlet过程（DP），以暴露。取而代之的是马尔可夫链蒙特卡罗（MCMC）依靠，这与我们的规格慢，到位ER-进行正确的程序基于DP的有限，高尺寸近似的有效变推论。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式