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» Incremental query evaluation for support vector machines
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VLDB
2008
ACM
127views Database» more  VLDB 2008»
16 years 6 months ago
Delay aware querying with Seaweed
Large highly distributed data sets are poorly supported by current query technologies. Applications such as endsystembased network management are characterized by data stored on l...
Dushyanth Narayanan, Austin Donnelly, Richard Mort...
ECIR
2010
Springer
15 years 7 months ago
A Framework for Evaluating Automatic Image Annotation Algorithms
Several Automatic Image Annotation (AIA) algorithms have been introduced recently, which have been found to outperform previous models. However, each one of them has been evaluated...
Konstantinos Athanasakos, Vassilios Stathopoulos, ...
SIGIR
2000
ACM
15 years 10 months ago
SWAMI: a framework for collaborative filtering algorithm development and evaluation
We present a Java-based framework, SWAMI (Shared Wisdom through the Amalgamation of Many Interpretations) for building and studying collaborative filtering systems. SWAMI consist...
Danyel Fisher, Kris Hildrum, Jason I. Hong, Mark W...
EDBT
2012
ACM
299views Database» more  EDBT 2012»
13 years 8 months ago
RecStore: an extensible and adaptive framework for online recommender queries inside the database engine
Most recommendation methods (e.g., collaborative filtering) consist of (1) a computationally intense offline phase that computes a recommender model based on users’ opinions o...
Justin J. Levandoski, Mohamed Sarwat, Mohamed F. M...
ERCIMDL
2003
Springer
165views Education» more  ERCIMDL 2003»
15 years 11 months ago
Automatic Multi-label Subject Indexing in a Multilingual Environment
Abstract. This paper presents an approach to automatically subject index fulltext documents with multiple labels based on binary support vector machines (SVM). The aim was to test ...
Boris Lauser, Andreas Hotho