2245 search results - page 110 / 449 » Metrics that Learn Relevance |
BDA
2007
13 years 11 months ago
2007
In content-based retrieval, relevance feedback (RF) is a noticeable method for reducing the “semantic gap” between the low-level features describing the content and the usually...
ACL
2009
13 years 8 months ago
2009
In Cross-Language Information Retrieval (CLIR), Out-of-Vocabulary (OOV) detection and translation pair relevance evaluation still remain as key problems. In this paper, an English...
ICML
1995
IEEE
14 years 1 months ago
1995
IEEE
In this paper we describe an Information Retrieval problem called collection fusion. The collection fusion problem is to maximize the number of relevant natural language documents...
ICML
2003
IEEE
14 years 11 months ago
2003
IEEE
Feature selection, as a preprocessing step to machine learning, has been effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and improvin...
ICMCS
2008
IEEE
14 years 4 months ago
2008
IEEE
This paper presents an effective fuzzy long-term semantic learning method for relevance feedback-based image retrieval. The proposed system uses a statistical correlationbased met...