公开(公告)号：US06327973B2

公开(公告)日：2001-12-11

申请号：US09217879

申请日：1998-12-21

Applicant: Donnie J. Duis ,  David Dolan

Inventor： Donnie J. Duis ,  David Dolan

IPC: B41F1724

CPC classification number: B65B61/025 ,  B31B50/88 ,  B65B25/008

Abstract: This invention provides a support for a carton which supports said carton during printing comprising a flat portion which is inserted into said carton. This invention further provides a method of printing on a carton comprising the steps of supporting said carton with a support comprising a flat portion; and printing on said carton.

Abstract translation: 本发明提供了一种用于在打印期间支撑所述纸箱的纸箱的支撑件，包括插入到所述纸箱中的平坦部分。 本发明还提供了一种在纸箱上印刷的方法，包括以下步骤：用包括平坦部分的支撑件支撑所述纸箱; 并在所述纸箱上印刷。

公开(公告)号：US5950189A

公开(公告)日：1999-09-07

申请号：US775913

申请日：1997-01-02

Applicant: Edith Cohen ,  David Dolan Lewis

Inventor： Edith Cohen ,  David Dolan Lewis

IPC: G06F17/30

CPC classification number: G06F17/3069 ,  Y10S707/99933 ,  Y10S707/99934 ,  Y10S707/99935

Abstract: The invention is an improved retrieval system and method. Many pattern recognition tasks, including estimation, classification, and the finding of similar objects, make use of linear models. For example, many text retrieval systems represent queries as linear functions, and retrieve documents whose vector representation has a high dot product with the query. The fundamental operation in such tasks is the computation of the dot product between a query vector and a large database of instance vectors. Often instance vectors which have high dot products with the query are of interest. The invention relates to a random sampling based retrieval system that can identify, for any given query vector, those instance vectors which have large dot products, while avoiding explicit computation of all dot products.

Abstract translation: 本发明是一种改进的检索系统和方法。 许多模式识别任务，包括估计，分类和类似对象的发现，都使用线性模型。 例如，许多文本检索系统将查询表示为线性函数，并且检索其向量表示与查询具有高点积的文档。 这些任务的基本操作是计算查询向量和实例向量的大型数据库之间的点积。 通常，具有查询的高点积的实例向量是感兴趣的。 本发明涉及一种基于随机抽样的检索系统，可以为任何给定的查询向量识别具有大点积的那些实例向量，同时避免所有点产品的显式计算。

公开(公告)号：US20120209870A1

公开(公告)日：2012-08-16

申请号：US13453901

申请日：2012-04-23

Applicant: Abdur R. CHOWDHURY ,  Steven Michael BEITZEL ,  David Dolan LEWIS ,  Aleksander KOLCZ

Inventor： Abdur R. CHOWDHURY ,  Steven Michael BEITZEL ,  David Dolan LEWIS ,  Aleksander KOLCZ

IPC: G06F17/30

CPC classification number: G06F17/30707 ,  G06F17/30657 ,  G06F17/30864

Abstract: A query phrase may be automatically classified to one or more topics of interest (e.g., categories) to assist in routing the query phrase to one or more appropriate backend databases. A selectional preference query classification technique may be used to classify the query phrase based on a comparison between the query phrase and patterns of query phrases. Additionally, or alternatively, a combination of query classification techniques may be used to classify the query phrase. Topical classification of a query phrase also may be used to assist a search system in delivering auxiliary information to a user who entered the query phrase. Advertisements, for instance, may be tailored based on classification rather than query keywords.

Abstract translation: 查询短语可以被自动分类为感兴趣的一个或多个主题（例如，类别），以帮助将查询短语路由到一个或多个适当的后端数据库。 可以使用选择偏好查询分类技术来基于查询短语和查询短语的模式之间的比较来对查询短语进行分类。 另外或替代地，可以使用查询分类技术的组合来对查询短语进行分类。 查询短语的主题分类也可以用于帮助搜索系统向输入查询短语的用户传送辅助信息。 例如，广告可以基于分类来定制，而不是查询关键字。

公开(公告)号：US20100299290A1

公开(公告)日：2010-11-25

申请号：US12848318

申请日：2010-08-02

Applicant: Abdur R. Chowdhury ,  Steven Michael Beitzel ,  David Dolan Lewis ,  Aleksander Kolcz

Inventor： Abdur R. Chowdhury ,  Steven Michael Beitzel ,  David Dolan Lewis ,  Aleksander Kolcz

IPC: G06F15/18 ,  G06F17/30

CPC classification number: G06F17/30707 ,  G06F17/30657 ,  G06F17/30864

Abstract: A query phrase may be automatically classified to one or more topics of interest (e.g., categories) to assist in routing the query phrase to one or more appropriate backend databases. A selectional preference query classification technique may be used to classify the query phrase based on a comparison between the query phrase and patterns of query phrases. Additionally, or alternatively, a combination of query classification techniques may be used to classify the query phrase. Topical classification of a query phrase also may be used to assist a search system in delivering auxiliary information to a user who entered the query phrase. Advertisements, for instance, may be tailored based on classification rather than query keywords.

Abstract translation: 查询短语可以被自动分类为感兴趣的一个或多个主题（例如，类别），以帮助将查询短语路由到一个或多个适当的后端数据库。 可以使用选择偏好查询分类技术来基于查询短语和查询短语的模式之间的比较来对查询短语进行分类。 另外或替代地，可以使用查询分类技术的组合来对查询短语进行分类。 查询短语的主题分类也可以用于帮助搜索系统向输入查询短语的用户传送辅助信息。 例如，广告可以基于分类来定制，而不是查询关键字。

公开(公告)号：US5970484A

公开(公告)日：1999-10-19

申请号：US654044

申请日：1996-05-28

Applicant: Kenneth Ward Church ,  Jonathan Isaac Helfman ,  David Dolan Lewis

Inventor： Kenneth Ward Church ,  Jonathan Isaac Helfman ,  David Dolan Lewis

IPC: G06F17/30 ,  H04N1/00 ,  H04N1/327

CPC classification number: H04N1/32778 ,  G06F17/30253 ,  G06F17/30637 ,  H04N1/00204 ,  H04N1/00244 ,  H04N1/32771 ,  H04N2201/0081 ,  H04N2201/0093 ,  Y10S707/99934

Abstract: An information retrieval method wherein users may submit a query via a graphical bitmapping technique. The user provides an information retrieval system with a bitmap of a printed, written, or graphical query by either scanning the query with a graphical scanner, or employing a standard facsimile transmission machine. The information retrieval system then performs an optical image/character recognition process upon the received bitmap to determine the content of the query, information is then retried based upon the recognized characters and images. In a particular method of the invention, the user is provided with a bitmap of the retrieved information.

Abstract translation: 一种信息检索方法，其中用户可以经由图形位图技术提交查询。 用户通过使用图形扫描仪扫描查询或使用标准传真机提供具有打印，书写或图形查询的位图的信息检索系统。 信息检索系统然后对所接收的位图执行光学图像/字符识别处理以确定查询的内容，然后基于所识别的字符和图像重新尝试信息。 在本发明的特定方法中，向用户提供所检索信息的位图。

公开(公告)号：US5905863A

公开(公告)日：1999-05-18

申请号：US866196

申请日：1997-05-30

Applicant: Kimberly A. Knowles ,  David Dolan Lewis

Inventor： Kimberly A. Knowles ,  David Dolan Lewis

IPC: G06Q10/10 ,  H04L12/58 ,  G06F17/27

CPC classification number: H04L12/5885 ,  G06Q10/107 ,  H04L51/34

Abstract: Current tools for processing e-mail and other messages do not adequately recognize and manipulate threads, i.e., conversations among two or more people carried out by exchange of messages. The present invention utilizes the textual context and characteristics of messages in order to provide a more reliable and effective way to construct message threads. In accordance with the present invention, statistical information retrieval techniques are used in conjunction with textual material obtained by "filtering" of messages to achieve a significant level of accuracy at identifying when one message is a reply to another.

Abstract translation: 用于处理电子邮件和其他消息的当前工具不能充分地识别和操纵线程，即通过交换消息进行的两个或更多个人之间的对话。 本发明利用消息的文本语境和特征，以提供构建消息线程的更可靠和有效的方式。 根据本发明，统计信息检索技术与通过“过滤”消息获得的文本材料结合使用，以在识别何时一个消息是对另一个消息的回复时实现显着的准确度。

公开(公告)号：US5836323A

公开(公告)日：1998-11-17

申请号：US643965

申请日：1996-05-07

Applicant: Darren Scott Keene ,  Timothy Patrick Newton ,  Daniel Tsu-Fang Wang ,  David Dolan ,  Kiyoshi Imai ,  Katsuaki Yoshida ,  Svend Christensen ,  Finn Thrige Andersen ,  Ture Kindt-Larsen ,  Kaj Bjerre ,  Junichi Fukuchi ,  David Byram ,  Gary Hall

Inventor： Darren Scott Keene ,  Timothy Patrick Newton ,  Daniel Tsu-Fang Wang ,  David Dolan ,  Kiyoshi Imai ,  Katsuaki Yoshida ,  Svend Christensen ,  Finn Thrige Andersen ,  Ture Kindt-Larsen ,  Kaj Bjerre ,  Junichi Fukuchi ,  David Byram ,  Gary Hall

IPC: B29C39/36 ,  B29C31/00 ,  B29C33/04 ,  B29C33/34 ,  B29C39/40 ,  B29C39/44 ,  B29C43/02 ,  B29C43/50 ,  B29C71/00 ,  B29D11/00 ,  B29D11/02 ,  B29L11/00 ,  B65B25/00 ,  C08J7/02 ,  G02C7/04 ,  B08B3/04

CPC classification number: B29D11/00182 ,  B29C31/00 ,  B29C31/006 ,  B29C43/021 ,  B29C43/50 ,  B29C71/0009 ,  B29D11/00067 ,  B29D11/00221 ,  B65B25/008 ,  B29L2011/0016 ,  Y10S134/901 ,  Y10T29/53404

Abstract: An automated means for hydrating a molded hydrophilic contact lens is provided in which a first robotic assembly removes a plurality of contact lens molds from a production line carrier, each of the lens molds having a contact lens adhered therein. The first robotic assembly transports the molds to a first staging area where the lens molds are sandwiched between a lens mold carrier and a top chamber plate to form a first hydration carrier. A first rotary transfer device then hands the first hydration carrier to a second robotic assembly which immerses the first hydration carrier in a hydration bath to hydrate the lens and to release the lens from the lens mold. While the lens is immersed in the hydration bath, each lens is transferred from its respective mold to a lens transfer means found within the top chamber plate. After a predetermined period of time, the second robotic assembly removes the first hydration carrier from the hydration bath and hands the hydration carrier off to a second rotary transfer device which rotates the first hydration carrier and aligns it for transfer to a third robotic assembly. The third robotic assembly then carries the top chamber plate and contact lenses through a series of steps in which the lens mold carrier and lens molds are removed from the top chamber plate. The lenses carried on the lens transfer means are then flushed and transported for assembly with a hydration base member to form a second hydration carrier for processing the lens in subsequent extraction stations. The second hydration carrier is then transported through a plurality of flushing or extraction stations wherein fresh deionized water is introduced into the hydration chambers at each hydration station to flush leachable substances from the hydration chamber. At each flushing station, fresh deionized water is introduced into the hydration chamber to remove previously extracted impurities and the products of hydrolysis. A final robotic dis-assembly device separates the top chamber plate and lens transfer means from the hydration base member, to provide fully hydrated lenses in a concave lens holding means ready for transfer to inspection and packaging stations.

公开(公告)号：US08166036B2

公开(公告)日：2012-04-24

申请号：US12848318

申请日：2010-08-02

Applicant: Abdur R. Chowdhury ,  Steven Michael Beitzel ,  David Dolan Lewis ,  Aleksander Kolcz

Inventor： Abdur R. Chowdhury ,  Steven Michael Beitzel ,  David Dolan Lewis ,  Aleksander Kolcz

IPC: G06F17/30

CPC classification number: G06F17/30707 ,  G06F17/30657 ,  G06F17/30864

Abstract: A query phrase may be automatically classified to one or more topics of interest (e.g., categories) to assist in routing the query phrase to one or more appropriate backend databases. A selectional preference query classification technique may be used to classify the query phrase based on a comparison between the query phrase and patterns of query phrases. Additionally, or alternatively, a combination of query classification techniques may be used to classify the query phrase. Topical classification of a query phrase also may be used to assist a search system in delivering auxiliary information to a user who entered the query phrase. Advertisements, for instance, may be tailored based on classification rather than query keywords.

Abstract translation: 查询短语可以被自动分类为感兴趣的一个或多个主题（例如，类别），以帮助将查询短语路由到一个或多个适当的后端数据库。 可以使用选择偏好查询分类技术来基于查询短语和查询短语的模式之间的比较来对查询短语进行分类。 另外或替代地，可以使用查询分类技术的组合来对查询短语进行分类。 查询短语的主题分类也可以用于帮助搜索系统向输入查询短语的用户传送辅助信息。 例如，广告可以基于分类来定制，而不是查询关键字。

公开(公告)号：US5671333A

公开(公告)日：1997-09-23

申请号：US224599

申请日：1994-04-07

Applicant: Jason A. Catlett ,  William Arthur Gale ,  David Dolan Lewis

Inventor： Jason A. Catlett ,  William Arthur Gale ,  David Dolan Lewis

IPC: G06F17/27 ,  G06F15/18 ,  G06F17/30 ,  G06E1/00 ,  G06E3/00

CPC classification number: G06N99/005

Abstract: Apparatus and methods for training classifiers. The apparatus includes a degree of certainty classifier which classifies examples in categories and indicates a degree of certainty regarding the classification and an annotating classifier which receives classified examples with a low degree of certainty from the degree of certainty classifier and annotates them to indicate whether their classifications are correct. The annotated examples are then used to train another classifier. In one version of the invention, the other classifier is a new version of the degree of certainty classifier, and training continues until the degree of certainty classifier has satisfactory performance. The degree of certainty classifier of the embodiment is a probabilistic binary classifier which is trained using relevance feedback. The annotating classifier may include an interactive interface which permits a human user of the system to examine an example and indicate whether it was properly classified.

Abstract translation: 用于训练分类器的装置和方法。 该装置包括一定程度的确定性分类器，其对类别中的示例进行分类，并且指示关于分类的确定性程度和注释分类器，其从确定性分类器的程度接收具有低度确定性的分类示例，并对其进行注释以指示其分类 是正确的。 然后将注释的示例用于训练另一个分类器。 在本发明的一个版本中，其他分类器是确定性分类程度的新版本，并且训练继续进行，直到确定性分类器的程度具有令人满意的性能。 该实施例的确定性分类器的程度是使用相关性反馈训练的概率二进制分类器。 注释分类器可以包括允许系统的人类用户检查示例并指示其是否被适当分类的交互式界面。

公开(公告)号：US09269053B2

公开(公告)日：2016-02-23

申请号：US13458219

申请日：2012-04-27

Applicant: Jeffrey David Naslund ,  Kevin B. Thompson ,  David Dolan Lewis

Inventor： Jeffrey David Naslund ,  Kevin B. Thompson ,  David Dolan Lewis

IPC: G06F15/18 ,  G06N99/00

CPC classification number: G06N99/005

Abstract: An example method for reviewing documents includes scoring documents using an artificial intelligence model, and selecting a subset of highest scoring documents. The method further includes inserting a number of randomly-selected documents into the subset of highest scoring documents to form a set of documents for review, wherein a reviewer cannot differentiate between the randomly-selected documents and the subset of highest scoring documents included in the set of documents for review, and presenting the set of documents for review by the reviewer.

Abstract translation: 用于审查文档的示例性方法包括使用人造智能模型对文档进行评分，以及选择最高评分文档的子集。 该方法还包括将多个随机选择的文档插入到最高评分文档的子集中以形成用于复审的一组文档，其中审阅者不能区分随机选择的文档和包括在该集合中的最高评分文档的子集 的文件进行审查，并提交一组文件供审评员审查。