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1. 发明授权

US07143085B2 Optimization of server selection using euclidean analysis of search terms 失效
标题翻译：优化服务器选择使用欧几里得分析搜索词
公开(公告)号：US07143085B2
公开(公告)日：2006-11-28
申请号：US10209619
申请日：2002-07-31
申请人： Gregory T. Brown , Youssef Drissi , Moon Ju Kim , Lev Kozakov , Juan Leon-Rodriquez , Ricardo Vilalta
发明人： Gregory T. Brown , Youssef Drissi , Moon Ju Kim , Lev Kozakov , Juan Leon-Rodriquez , Ricardo Vilalta
IPC分类号： G06F7/00
CPC分类号： G06F17/30864 , G06F17/30657 , Y10S707/99931 , Y10S707/99932 , Y10S707/99933 , Y10S707/99936 , Y10S707/99937
摘要： Euclidean analysis is used to define queries in terms of a multi-axis query space where each of the keywords T1, T2, . . . Ti, . . . Tn is assigned an axis in that space. Sets of test queries St for each one from one of a plurality of server sources, are plotted in the query space. Clusters of the search terms are identified based on the proximity of the plotted query vectors to one another. Predominant servers are identified for each of the clusters. When a search query Ss is received, the location of its vector is determined and the servers accessed by the search query Ss are those that are predominant in the cluster which its vector may fall or is in closest proximity to.
摘要翻译：欧几里德分析用于根据多轴查询空间来定义查询，其中每个关键字T 1，T 2，...。。。。。。。。。。。。。。。。。在该空间中分配了一个轴。在多个服务器源中的一个服务器源中的每一个的测试查询集合被绘制在查询空间中。基于绘制的查询向量彼此的邻近度来识别搜索项的群集。为每个集群标识主要服务器。当接收到搜索查询S 时，确定其向量的位置，并且由搜索查询S 访问的服务器是在群集中占主导地位的那些矢量可能会下降或最接近。

2. 发明授权

US07987144B1 Methods and apparatus for generating a data classification model using an adaptive learning algorithm 失效
标题翻译：使用自适应学习算法生成数据分类模型的方法和装置
公开(公告)号：US07987144B1
公开(公告)日：2011-07-26
申请号：US09713342
申请日：2000-11-14
申请人： Youssef Drissi , Ricardo Vilalta
发明人： Youssef Drissi , Ricardo Vilalta
IPC分类号： G06N5/00
CPC分类号： G06N99/005 , G06K9/6267
摘要： A data classification method and apparatus are disclosed for labeling unknown objects. The disclosed data classification system employs a learning algorithm that adapts through experience. The present invention classifies objects in domain datasets using data classification models having a corresponding bias and evaluates the performance of the data classification. The performance values for each domain dataset and corresponding model bias are processed to identify or modify one or more rules of experience. The rules of experience are subsequently used to generate a model for data classification. Each rule of experience specifies one or more characteristics for a domain dataset and a corresponding bias that should be utilized for a data classification model if the rule is satisfied. The present invention dynamically modifies the assumptions (bias) of the learning algorithm to improve the assumptions embodied in the generated models and thereby improve the quality of the data classification and regression systems that employ such models. The disclosed self-adaptive learning process will become increasingly more accurate as the rules of experience are accumulated over time.
摘要翻译：公开了一种用于标记未知物体的数据分类方法和装置。所公开的数据分类系统采用适应经验的学习算法。本发明使用具有相应偏差的数据分类模型对领域数据集中的对象进行分类，并评估数据分类的性能。处理每个域数据集的性能值和对应的模型偏差以识别或修改一个或多个经验规则。随后，经验规则用于生成数据分类模型。每个经验规则指定一个域数据集的一个或多个特征以及如果该规则得到满足，应该用于数据分类模型的相应偏倚。本发明动态地修改学习算法的假设（偏差），以改进所产生模型中体现的假设，从而提高采用这种模型的数据分类和回归系统的质量。随着时间的推移，随着经验规则的积累，公开的自适应学习过程将变得越来越准确。

3. 发明授权

US06728689B1 Method and apparatus for generating a data classification model using interactive adaptive learning algorithms 有权
标题翻译：使用交互式自适应学习算法生成数据分类模型的方法和装置
公开(公告)号：US06728689B1
公开(公告)日：2004-04-27
申请号：US09713341
申请日：2000-11-14
申请人： Youssef Drissi , Ricardo Vilalta
发明人： Youssef Drissi , Ricardo Vilalta
IPC分类号： G06E100
CPC分类号： G06K9/6262 , G06K9/6253 , G06N99/005
摘要： A data classification method and apparatus are disclosed for labeling unknown objects. The disclosed data classification system employs a learning algorithm that adapts through experience. The present invention classifies objects in domain datasets using data classification models having a corresponding bias and evaluates the performance of the data classification. The performance values for each domain dataset and corresponding model bias are processed to identify or modify one or more rules of experience. The rules of experience are subsequently used to generate a model for data classification. Each rule of experience specifies one or more characteristics for a domain dataset and a corresponding bias that should be utilized for a data classification model if the rule is satisfied. The present invention dynamically modifies the assumptions (bias) of the learning algorithm to improve the assumptions embodied in the generated models and thereby improve the quality of the data classification and regression systems that employ such models. A dynamic bias may be employed in the meta-learning algorithm by utilizing two self-adaptive learning algorithms. In a first function, each self-adaptive learning algorithm generates models used for data classification. In a second function, each self-adaptive learning algorithm serves as an adaptive meta-learner for the other adaptive learning algorithm.
摘要翻译：公开了一种用于标记未知物体的数据分类方法和装置。所公开的数据分类系统采用适应经验的学习算法。本发明使用具有相应偏差的数据分类模型对领域数据集中的对象进行分类，并评估数据分类的性能。处理每个域数据集的性能值和对应的模型偏差以识别或修改一个或多个经验规则。随后，经验规则用于生成数据分类模型。每个经验规则指定一个域数据集的一个或多个特征以及如果该规则得到满足，应该用于数据分类模型的相应偏倚。本发明动态地修改学习算法的假设（偏差），以改进所产生模型中体现的假设，从而提高采用这种模型的数据分类和回归系统的质量。通过利用两种自适应学习算法，可以在元学习算法中采用动态偏差。在第一个功能中，每个自适应学习算法生成用于数据分类的模型。在第二个功能中，每个自适应学习算法作为另一种自适应学习算法的自适应元学习者。

4. 发明申请

US20120022803A1 WATER CONSUMPTION MONITOR 失效
标题翻译：水消耗监测
公开(公告)号：US20120022803A1
公开(公告)日：2012-01-26
申请号：US12843358
申请日：2010-07-26
申请人： IAN ABBOTT DONNELLY , Youssef Drissi , Tyrone W. Grandison , Colin G. Harrison , Kaan K. Katircioglu , Jurij R. Paraszczak
发明人： IAN ABBOTT DONNELLY , Youssef Drissi , Tyrone W. Grandison , Colin G. Harrison , Kaan K. Katircioglu , Jurij R. Paraszczak
IPC分类号： G01F1/66
CPC分类号： G01F15/063 , G01F15/06
摘要： A system and method for monitoring utilization and waste of a natural resource, such as water. Data is received indicating natural resource consumption by a facility. An indication of at least one period of natural resource usage by the facility is received. Natural resource usage corresponding to utilization of the natural resource for a useful purpose. Quantities of the natural resource consumed by the facility during the at least one period of water usage is recorded as a utilized quantity.
摘要翻译：监测自然资源如水的利用和浪费的系统和方法。收到指示设施自然资源消耗的数据。收到设施至少一个自然资源使用期限的指示。自然资源的使用对应于利用自然资源的有用目的。在该至少一个用水期间，设施所消耗的自然资源的数量被记录为使用量。

5. 发明授权

US08027994B2 Searching a multi-lingual database 有权
标题翻译：搜索多语言数据库
公开(公告)号：US08027994B2
公开(公告)日：2011-09-27
申请号：US12195862
申请日：2008-08-21
申请人： Youssef Drissi , Moon Ju Kim , Lev Kozakov , Juan Leon Rodriguez
发明人： Youssef Drissi , Moon Ju Kim , Lev Kozakov , Juan Leon Rodriguez
IPC分类号： G06F17/30
CPC分类号： G06F17/30669 , G06F17/289 , G06F17/30622 , Y10S707/99932 , Y10S707/99933 , Y10S707/99937 , Y10S707/99938 , Y10S707/99939 , Y10S707/99942 , Y10S707/99943 , Y10S707/99944 , Y10S707/99945 , Y10S707/99948
摘要： A system and method of searching a database in which documents of different languages are included. The system includes a synonym or keyword dictionary which is bi-directional and allows for translation of keywords between a first language and other languages. The translated words keywords for the document are stored in an inverted index which is then used for searching, either in a selected language, a second language or in all languages, as determined by the user. This use of multiple searching and a translated synonym dictionary avoids the need for translation of the entire document and avoids inaccuracies which may result from translations.
摘要翻译：一种搜索包含不同语言的文档的数据库的系统和方法。该系统包括双向的同义词或关键词字典，并允许在第一语言和其他语言之间翻译关键字。用于文档的翻译的单词关键字被存储在反向索引中，然后用于按照用户确定的所选语言，第二语言或所有语言的搜索。这种使用多重搜索和翻译的同义词词典避免了翻译整个文档的需要，并避免了翻译可能导致的不准确之处。

6. 发明申请

US20100106522A1 SYSTEM AND METHOD FOR ORGANIZING AND DISPLAYING OF LONGITUDINAL MULTIMODAL MEDICAL RECORDS 有权
标题翻译：用于组织和显示长期多模式医学记录的系统和方法
公开(公告)号：US20100106522A1
公开(公告)日：2010-04-29
申请号：US12256858
申请日：2008-10-23
申请人： James W. Cooper , Youssef Drissi , Shahram Ebadollahi , Anthony Tom Levas
发明人： James W. Cooper , Youssef Drissi , Shahram Ebadollahi , Anthony Tom Levas
IPC分类号： G06F7/00 , G06F17/00 , G06F17/21 , G06F17/30 , G06F9/46
CPC分类号： G06F19/321 , G06F19/00 , G06Q10/10 , G06Q50/22 , G06Q50/24 , G16H10/60 , G16H40/63 , G16H50/20
摘要： A system and method for processing data includes organizing medical information in a concept frame data structure, which is adapted to include medical measurements and related metadata. The medical information is analyzed to extract further information using information extractors and to store extracted medical information in the concept frame data structure. References are stored to appropriate visualization methods along with an associated concept in the concept frame data structure.
摘要翻译：用于处理数据的系统和方法包括在适于包括医学测量和相关元数据的概念框架数据结构中组织医疗信息。分析医疗信息以使用信息提取器提取进一步的信息，并将提取的医疗信息存储在概念帧数据结构中。引用被存储到适当的可视化方法以及概念帧数据结构中的相关概念。

7. 发明授权

US07577939B2 Method, system and program product for sharing source code over a network 失效
标题翻译：用于通过网络共享源代码的方法，系统和程序产品
公开(公告)号：US07577939B2
公开(公告)日：2009-08-18
申请号：US10608204
申请日：2003-06-27
申请人： Roberto J. Bayardo, Jr. , Yurdaer N. Doganata , Youssef Drissi , Tong-Haing Fin , Moon J. Kim , Lev Kozakov , Juan L. Rodriguez
发明人： Roberto J. Bayardo, Jr. , Yurdaer N. Doganata , Youssef Drissi , Tong-Haing Fin , Moon J. Kim , Lev Kozakov , Juan L. Rodriguez
IPC分类号： G06F9/44 , G06F15/16
CPC分类号： G06Q10/10 , G06F17/30011
摘要： Under the present invention source code can be shared among nodes in a peer-to-peer network. Specifically, source code to be shared will first be analyzed to identify a set of code patterns, assigned one or more predetermined categories based on the set of code patterns, and then selectively indexed. A developer desiring to use previously created source code when creating a new program can perform a context dependent search based on his/her working code to identify and retrieve relevant source code.
摘要翻译：根据本发明，源代码可以在对等网络中的节点之间共享。具体来说，将首先分析要共享的源代码以识别一组代码模式，基于代码模式集合分配一个或多个预定类别，然后选择性地编制索引。希望在创建新程序时使用以前创建的源代码的开发人员可以根据他/她的工作代码执行与上下文相关的搜索，以识别和检索相关的源代码。

8. 发明申请

US20080306923A1 SEARCHING A MULTI-LINGUAL DATABASE 有权
标题翻译：搜索多个数据库
公开(公告)号：US20080306923A1
公开(公告)日：2008-12-11
申请号：US12195862
申请日：2008-08-21
申请人： Youssef Drissi , Moon Ju Kim , Lev Kozakov , Juan Leon Rodriguez
发明人： Youssef Drissi , Moon Ju Kim , Lev Kozakov , Juan Leon Rodriguez
IPC分类号： G06F7/06 , G06F17/30
CPC分类号： G06F17/30669 , G06F17/289 , G06F17/30622 , Y10S707/99932 , Y10S707/99933 , Y10S707/99937 , Y10S707/99938 , Y10S707/99939 , Y10S707/99942 , Y10S707/99943 , Y10S707/99944 , Y10S707/99945 , Y10S707/99948
摘要： A system and method of searching a database in which documents of different languages are included. The system includes a synonym or keyword dictionary which is bi-directional and allows for translation of keywords between a first language and other languages. The translated words keywords for the document are stored in an inverted index which is then used for searching, either in a selected language, a second language or in all languages, as determined by the user. This use of multiple searching and a translated synonym dictionary avoids the need for translation of the entire document and avoids inaccuracies which may result from translations.
摘要翻译：一种搜索包含不同语言的文档的数据库的系统和方法。该系统包括双向的同义词或关键词字典，并允许在第一语言和其他语言之间翻译关键字。用于文档的翻译的单词关键字被存储在反向索引中，然后用于按照用户确定的所选语言，第二语言或所有语言的搜索。这种使用多重搜索和翻译的同义词词典避免了翻译整个文档的需要，并避免了翻译可能导致的不准确之处。

9. 发明申请

US20080270393A1 TECHNIQUES FOR PERSONALIZED AND ADAPTIVE SEARCH SERVICES 有权
标题翻译：个性化和自适应搜索服务的技术
公开(公告)号：US20080270393A1
公开(公告)日：2008-10-30
申请号：US12169306
申请日：2008-07-08
申请人： Yurdaer Nezihi Doganata , Youssef Drissi , Lev Kozakov
发明人： Yurdaer Nezihi Doganata , Youssef Drissi , Lev Kozakov
IPC分类号： G06F7/10 , G06F17/30
CPC分类号： G06F17/30867
摘要： Techniques are presented for automatically selecting information sources that are most relevant to user queries. Results of searches returned by information sources for queries are analyzed and the information sources are ranked based on this analysis. The information sources that have high rankings for a query are subsequently used to search for relevant results. This process can be adaptive, as the returned results of old queries can be analyzed at a later date to update the ranking of the information sources, automatic searches can be performed to update the ranking of the information sources, new queries can be used for analysis and stored, new information sources added, and old information sources deleted. A linguistic library is used to store personal categories for one or more users and general categories. Each category is associated with keywords and ranked lists of information sources. The library also contains general categories, taxonomies, and dictionaries.
摘要翻译：提供了自动选择与用户查询最相关的信息源的技术。分析查询信息源返回的搜索结果，并根据此分析对信息源进行排名。随后使用查询排名较高的信息来搜索相关结果。该过程可以是自适应的，因为可以在稍后的时间分析旧查询的返回结果来更新信息源的排名，可以执行自动搜索来更新信息源的排名，新的查询可以用于分析并存储，添加了新的信息源，并删除了旧的信息源。语言库用于存储一个或多个用户和一般类别的个人类别。每个类别都与关键词和排名的信息源列表相关联。图书馆还包含一般类别，分类和字典。

10. 发明申请

US20080168080A1 Method and System for Characterizing Unknown Annotator and its Type System with Respect to Reference Annotation Types and Associated Reference Taxonomy Nodes 失效
标题翻译：用于表征未知注释及其类型系统的方法和系统，涉及注释类型和相关参考分类法节点
公开(公告)号：US20080168080A1
公开(公告)日：2008-07-10
申请号：US11620189
申请日：2007-01-05
申请人： Yurdaer N. Doganata , Youssef Drissi , David A. Ferrucci , Tong-Haing Fin , Genady Grabarnik , Lev Kozakov
发明人： Yurdaer N. Doganata , Youssef Drissi , David A. Ferrucci , Tong-Haing Fin , Genady Grabarnik , Lev Kozakov
IPC分类号： G06F17/30
CPC分类号： G06F17/30613 , G06Q10/10
摘要： An unknown annotator and its annotation type system are compared against a reference annotation type system. The comparison is done by providing a plurality of documents, and annotating each document using the reference set of document annotators, producing instances of reference annotation types, to generate a pre-annotated reference document set, and using the subject annotator and its subject annotation type system to generate a pre-annotated evaluation document set. Documents in the pre-annotated evaluation document set are compared to documents in the pre-annotated reference document set, and matches in location, within the compared documents, of instances of the subject annotation types and the reference annotation types are identified. Based on the matching data, reference document annotation types are selected that sufficiently correlate with the subject annotation type system. Based on the type system matching, the subject annotator and its type system are associated with a plurality of reference industrial taxonomy nodes.
摘要翻译：未知注释器及其注释类型系统与参考注释类型系统进行比较。比较是通过提供多个文档，并使用文献注释器的引用集来注释每个文档，产生引用注释类型的实例，以生成预先注释的参考文档集合，并且使用主题注释器及其主题注释类型系统生成预注释的评估文件集。将预先注释的评估文档集中的文档与预注释的参考文档集中的文档进行比较，并且在比较的文档中的位置匹配主题注释类型的实例和参考注释类型。基于匹配数据，选择与对象注释类型系统充分相关的参考文档注释类型。基于类型系统匹配，主体注释器及其类型系统与多个参考工业分类结点相关联。

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