This short paper presents some preliminary effectiveness re-sults for a probabilistic approach to distributed information retrieval using a Logistic regression algorithm for estima-tion of collection relevance. The algorithm is compared to other methods for distributed search using test collections developed for distributed search evaluation
This thesis describes a probabilistic model for optimum information retrieval in a distributed heter...
ABSTRACT The experiments described here are part of a researchprogram whose objective is to develop ...
The major emphasis of this paper is on analytical techniques for predicting the performance of vario...
This poster session examines a probabilistic approach to distributed information retrieval using a L...
Abstract. This paper examines technology developed to support largescale distributed digital librari...
This research evaluates a model for probabilistic text and document retrieval; the model utilizes th...
This paper describes a model for optimum information retrieval over a distributed document collectio...
This thesis describes a probabilistic model for optimum information retrieval in a distributed heter...
This thesis describes a probabilistic model for optimum information retrieval in a distributed heter...
This study explores the use of logistic regression for combining multiple sources of evidence and di...
Some statistical problems arising in the use of probabilistic models in retrieval are analysed. An a...
This paper evaluates the retrieval effectiveness of distributed information retrieval systems in rea...
This paper proposes an evolutionary approach for searching information collections in a distributed ...
An investigation of methods for enhanced searching of distributed data objects exploiting bidirectio...
Abstract The proliferation of online information resources increases the importance of effective and...
This thesis describes a probabilistic model for optimum information retrieval in a distributed heter...
ABSTRACT The experiments described here are part of a researchprogram whose objective is to develop ...
The major emphasis of this paper is on analytical techniques for predicting the performance of vario...
This poster session examines a probabilistic approach to distributed information retrieval using a L...
Abstract. This paper examines technology developed to support largescale distributed digital librari...
This research evaluates a model for probabilistic text and document retrieval; the model utilizes th...
This paper describes a model for optimum information retrieval over a distributed document collectio...
This thesis describes a probabilistic model for optimum information retrieval in a distributed heter...
This thesis describes a probabilistic model for optimum information retrieval in a distributed heter...
This study explores the use of logistic regression for combining multiple sources of evidence and di...
Some statistical problems arising in the use of probabilistic models in retrieval are analysed. An a...
This paper evaluates the retrieval effectiveness of distributed information retrieval systems in rea...
This paper proposes an evolutionary approach for searching information collections in a distributed ...
An investigation of methods for enhanced searching of distributed data objects exploiting bidirectio...
Abstract The proliferation of online information resources increases the importance of effective and...
This thesis describes a probabilistic model for optimum information retrieval in a distributed heter...
ABSTRACT The experiments described here are part of a researchprogram whose objective is to develop ...
The major emphasis of this paper is on analytical techniques for predicting the performance of vario...