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1,423
Query by Committee
, 1992
"... We propose an algorithm called query by committee, in which a committee of students is trained on the same data set. The next query is chosen according to the principle of maximal disagreement. The algorithm is studied for two toy models: the high-low game and perceptron learning of another perceptr ..."
Abstract
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Cited by 432 (3 self)
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We propose an algorithm called query by committee, in which a committee of students is trained on the same data set. The next query is chosen according to the principle of maximal disagreement. The algorithm is studied for two toy models: the high-low game and perceptron learning of another
Reflections on notecards: Seven issues for the next generation of hypermedia systems
- Communications of the ACM
, 1988
"... NoteCards is a general hypermedia environment designed to help people work with ideas. Its intended users are authors, designers, and other intellectual laborers engaged in analyzing information, designing artifacts, and generally processing ideas. The system provides these users with a variety of h ..."
Abstract
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Cited by 454 (2 self)
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of the major issues that must be addressed in the next generation of hypermedia systems. These seven issues are: search and query, composite nodes, virtual structures, computational engines, versioning, collaborative work, and tailorability. For each of these issues, the papers describes the limitations
TelegraphCQ: Continuous Dataflow Processing for an Uncertan World
, 2003
"... Increasingly pervasive networks are leading towards a world where data is constantly in motion. In such a world, conventional techniques for query processing, which were developed under the assumption of a far more static and predictable computational environment, will not be sufficient. Instead, qu ..."
Abstract
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Cited by 514 (23 self)
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, query processors based on adaptive dataflow will be necessary. The Telegraph project has developed a suite of novel technologies for continuously adaptive query processing. The next generation Telegraph system, called TelegraphCQ, is focused on meeting the challenges that arise in handling large streams
Extracting Relations from Large Plain-Text Collections
, 2000
"... Text documents often contain valuable structured data that is hidden in regular English sentences. This data is best exploited if available as a relational table that we could use for answering precise queries or for running data mining tasks. We explore a technique for extracting such tables fr ..."
Abstract
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Cited by 494 (25 self)
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Text documents often contain valuable structured data that is hidden in regular English sentences. This data is best exploited if available as a relational table that we could use for answering precise queries or for running data mining tasks. We explore a technique for extracting such tables
Property Testing and its connection to Learning and Approximation
"... We study the question of determining whether an unknown function has a particular property or is ffl-far from any function with that property. A property testing algorithm is given a sample of the value of the function on instances drawn according to some distribution, and possibly may query the fun ..."
Abstract
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Cited by 475 (67 self)
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We study the question of determining whether an unknown function has a particular property or is ffl-far from any function with that property. A property testing algorithm is given a sample of the value of the function on instances drawn according to some distribution, and possibly may query
Improving automatic query expansion
, 1998
"... Abstract Most casual users of IR systems type short queries. Recent research has shown that adding new words to these queries via odhoc feedback improves the re-trieval effectiveness of such queries. We investigate ways to improve this query expansion process by refining the set of documents used in ..."
Abstract
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Cited by 286 (4 self)
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Abstract Most casual users of IR systems type short queries. Recent research has shown that adding new words to these queries via odhoc feedback improves the re-trieval effectiveness of such queries. We investigate ways to improve this query expansion process by refining the set of documents used
Protein homology detection by HMM-HMM comparison
- BIOINFORMATICS
, 2005
"... Motivation: Protein homology detection and sequence alignment are at the basis of protein structure prediction, function prediction, and evolution. Results: We have generalized the alignment of protein se-quences with a profile hidden Markov model (HMM) to the case of pairwise alignment of profile H ..."
Abstract
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Cited by 401 (8 self)
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.7, and 3.3 times more good alignments (“balanced ” score> 0.3) than the next best method (COMPASS), and 1.6, 2.9, and 9.4 times more than PSI-BLAST, at the family, super-family, and fold level. Speed: HHsearch scans a query of 200 residues against 3691 domains in 33s on an AMD64 3GHz PC. This is 10
Shooting Stars in the Sky: An Online Algorithm for Skyline Queries
- In VLDB
, 2002
"... Skyline queries ask for a set of interesting points from a potentially large set of data points. If we are traveling, for instance, a restaurant might be interesting if there is no other restaurant which is nearer, cheaper, and has better food. Skyline queries retrieve all such interesting restauran ..."
Abstract
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Cited by 284 (0 self)
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Skyline queries ask for a set of interesting points from a potentially large set of data points. If we are traveling, for instance, a restaurant might be interesting if there is no other restaurant which is nearer, cheaper, and has better food. Skyline queries retrieve all such interesting
Querying the physical world
- IEEE Personal Communications
, 2000
"... In the next decade, millions of sensors and small-scale mobile devices will integrate processors, memory and communication capabilities. Networks of devices will be widely deployed for monitoring applications. In these new applications, users need to query very large collections of devices in an ad- ..."
Abstract
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Cited by 190 (1 self)
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In the next decade, millions of sensors and small-scale mobile devices will integrate processors, memory and communication capabilities. Networks of devices will be widely deployed for monitoring applications. In these new applications, users need to query very large collections of devices in an ad
Jena: Implementing the Semantic Web Recommendations
, 2003
"... OWL have, at their heart, the RDF graph. Jena2, a secondgeneration RDF toolkit, is similarly centered on the RDF graph. RDFS and OWL reasoning are seen as graph-to-graph transforms, producing graphs of virtual triples. Rich APIs are provided. The Model API includes support for other aspects of the R ..."
Abstract
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Cited by 261 (4 self)
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graphs can be stored in-memory or in databases. Jena's query language, RDQL, and the Web API are both offered for the next round of standardization.
Results 1 - 10
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