Search results

From Cohen Courses
Jump to navigationJump to search
  • Networks of references between documents such as papers, patents, or court cases.
    276 bytes (36 words) - 23:50, 6 February 2011
  • ...' aims to automatically find professional specialists from a collection of documents. An example is that we can discover experts in individual areas from scient
    414 bytes (60 words) - 15:39, 29 September 2012
  • ...' aims to automatically find professional specialists from a collection of documents. An example is that we can discover experts in individual areas from scient
    414 bytes (60 words) - 20:32, 3 October 2012
  • ...with about 1 million documents per day. In total it consist of 90 million documents (blog posts and news articles) from 1.65 million different sites obtained t 30% of the total number of documents in our dataset.
    2 KB (281 words) - 18:23, 22 April 2011
  • * The CiteSeer dataset contains 1,504 machine learning documents with 2,892 author references to 1,165 author entities.
    391 bytes (45 words) - 00:51, 1 April 2011
  • ...o sentences in the selected documents that are relevant to the topics. The documents that are annotated are separately distributed in a sentence-segmented forma
    1 KB (145 words) - 21:38, 26 September 2012
  • Documents related to the issue of animal cloning are contains 25 documents. All documents in the same set are
    4 KB (534 words) - 18:44, 26 October 2012
  • ...or model) is an algebraic [[Category::Method|model]] for representing text documents (and any objects, in general) as vectors of identifiers, such as, for examp
    439 bytes (65 words) - 20:35, 30 September 2012
  • ...ir frequency. This paper seeks to present a better model for understanding documents with associated tag data, using unlabeled data to uncover latent structure ...categories are latent variables, whereas the content and social annotation documents are visible.
    5 KB (800 words) - 10:28, 3 October 2012
  • Documents are ranked based on their scores. <br> ** TF-IDF between Q and all documents cited D
    4 KB (572 words) - 23:08, 2 April 2011
  • The 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across 20 different newsgroups. It was origina
    485 bytes (65 words) - 02:19, 27 September 2012
  • ...ions of "progress after hospital stay" of Clinical Data Architecture (CDA) documents, which came from Seoul National University Hospital. The data is not public The evaluation was performed on 200 documents for training and 100 documents for test with 3 fold validation. The performance of the system is not high,
    2 KB (313 words) - 16:06, 21 October 2010
  • ...of an extensive World Wide Web of facts can be achieved by mining the Web documents. This step has been described in [[RelatedPaper::Pasca et al, AAAI 2006]]. There are some differences in mining queries vs documents. These are:
    3 KB (486 words) - 04:20, 22 November 2010
  • ...from a stream of time-stamped information. Approaches usually aim to group documents belonging to the same event into a single cluster.
    657 bytes (94 words) - 19:42, 30 September 2012
  • ...hors_and_Documents Rosen-Zvi et al, The Author-Topic Model for Authors and Documents] ...in that they have a common '''big idea''' of being able to cluster similar documents, with using more than just the terms in the document. Both the papers use m
    2 KB (334 words) - 17:42, 5 November 2012
  • graphs of citations between documents. Using the network of citations between opinions handed down by the
    754 bytes (108 words) - 01:22, 7 February 2011
  • ...ection has 353 pairs of words, and the other collection has 1,225 pairs of documents. Both have human judgments as gold standards.
    2 KB (291 words) - 22:30, 30 November 2010
  • ...content evolution of the topics, where novel contents are introduced in by documents which adopt the topic. Unlike an explicit user behavior (e.g., buying a DVD ...r task as an joint inference problem, taking into consideration of textual documents, social influences, and topic evolution in a unified way. Specifically,
    5 KB (702 words) - 22:42, 5 November 2012
  • ...that assigns a numerical weighting to each element of a hyperlinked set of documents, such as the World Wide Web, with the purpose of "measuring" its relative i
    688 bytes (101 words) - 08:06, 4 October 2012
  • Rosen-Zvi et al, The Author-Topic Model for Authors and Documents * Build a [[UsesMethod:: Topic Model]] which could model the documents generation process by assigning each author with a separate topic mixture c
    3 KB (504 words) - 00:13, 1 April 2011

View (previous 20 | next 20) (20 | 50 | 100 | 250 | 500)