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333,673
Maximum likelihood from incomplete data via the EM algorithm
- JOURNAL OF THE ROYAL STATISTICAL SOCIETY, SERIES B
, 1977
"... A broadly applicable algorithm for computing maximum likelihood estimates from incomplete data is presented at various levels of generality. Theory showing the monotone behaviour of the likelihood and convergence of the algorithm is derived. Many examples are sketched, including missing value situat ..."
Abstract
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Cited by 11972 (17 self)
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situations, applications to grouped, censored or truncated data, finite mixture models, variance component estimation, hyperparameter estimation, iteratively reweighted least squares and factor analysis.
1 Modeling Cadastral Data Using Semi-Structured Data Models
"... Abstract: Cadastral data forms a category of semi-structured data. This paper investigates the modeling of this data with semi-structured data models. Specifically, it adopts OEM, a popular semi-structured data model that exists in the literature, and shows how cadastral entities and corresponding t ..."
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Abstract: Cadastral data forms a category of semi-structured data. This paper investigates the modeling of this data with semi-structured data models. Specifically, it adopts OEM, a popular semi-structured data model that exists in the literature, and shows how cadastral entities and corresponding
Representation of Map Objects with Semi-structured Data Models
- In Richardson and van Oosterom [2002
"... Mapping agencies world-wide produce a range of different types of maps, in efforts to meet different user requirements. These maps are usually designed in a digital environment and some of them are distributed through the World Wide Web. One important issue for those agents is the appropriate modell ..."
Abstract
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Cited by 2 (1 self)
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modelling and handling of map objects from which the digital maps are composed., This paper focuses on this aspect and as such addresses two aspects. First, the semi-structured nature of data composing a map is discussed. Second, the Object Exchange Model (OEM), a popular model for semi-structured data
Application of Semi-structured Data Model to the Implementation of Semantic Content Based Video Retrieval System
- Mobile Ubiquitous Computing, Systems, Services and Technologies, 2007. Proc. Of UBICOMM '07. International Conference on 4-9 Nov. 2007
"... Abstract — Semantic indexing of a video document is a process that performs the identification of elementary and complex semantic units in the indexed document in order to create a semantic index defined as a mapping of semantic units into the sequences of video frames. Semantic content-based video ..."
Abstract
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Cited by 1 (0 self)
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level, we define an abstract view of data and we express it in a notation of enhanced conceptual modeling suitable for the formal representation of the semantic contents of video documents. A semistructured data model is proposed for the middle level representation of data. At the bottom level we
Matchmaking: Distributed Resource Management for High Throughput Computing
- In Proceedings of the Seventh IEEE International Symposium on High Performance Distributed Computing
, 1998
"... Conventional resource management systems use a system model to describe resources and a centralized scheduler to control their allocation. We argue that this paradigm does not adapt well to distributed systems, particularly those built to support high-throughput computing. Obstacles include heteroge ..."
Abstract
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Cited by 435 (20 self)
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approach to resource management in distributed environment with decentralized ownership of resources. Novel aspects of the framework include a semi-structured data model that combines schema, data, and query in a simple but powerful specification language, and a clean separation of the matching
SNePS and Semi-Structured Databases
"... SNePS is a representative semantic network. This paper shows suggestive evidence that SNePS model of information and SNePS path-based query language have similar features as current semi-structured data models and query languages. This leads us to conclude that SNePS is well-suited to deal with semi ..."
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SNePS is a representative semantic network. This paper shows suggestive evidence that SNePS model of information and SNePS path-based query language have similar features as current semi-structured data models and query languages. This leads us to conclude that SNePS is well-suited to deal
Extending Semi-structured Data
"... Abstract. The problem of modeling semi-structured data is important in many application areas such asmultimedia data management, biological databases, digital libraries, and data integration. In this paper, we base our work on bdfs, which is a formal and elegant model for semistructured data [4] whe ..."
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Abstract. The problem of modeling semi-structured data is important in many application areas such asmultimedia data management, biological databases, digital libraries, and data integration. In this paper, we base our work on bdfs, which is a formal and elegant model for semistructured data [4
Learning Information Extraction Rules for Semi-structured and Free Text
- Machine Learning
, 1999
"... . A wealth of on-line text information can be made available to automatic processing by information extraction (IE) systems. Each IE application needs a separate set of rules tuned to the domain and writing style. WHISK helps to overcome this knowledge-engineering bottleneck by learning text extract ..."
Abstract
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Cited by 437 (10 self)
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extraction rules automatically. WHISK is designed to handle text styles ranging from highly structured to free text, including text that is neither rigidly formatted nor composed of grammatical sentences. Such semistructured text has largely been beyond the scope of previous systems. When used in conjunction
The Lorel Query Language for Semistructured Data
- International Journal on Digital Libraries
, 1997
"... We present the Lorel language, designed for querying semistructured data. Semistructured data is becoming more and more prevalent, e.g., in structured documents such as HTML and when performing simple integration of data from multiple sources. Traditional data models and query languages are inapprop ..."
Abstract
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Cited by 731 (29 self)
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We present the Lorel language, designed for querying semistructured data. Semistructured data is becoming more and more prevalent, e.g., in structured documents such as HTML and when performing simple integration of data from multiple sources. Traditional data models and query languages
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