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ACL
2009
13 years 5 months ago
Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
Yoshimasa Tsuruoka, Jun-ichi Tsujii, Sophia Anania...
CATA
2003
13 years 9 months ago
A Restaurant Finder using Belief-Desire-Intention Agent Model and Java Technology
It is becoming more important to design systems capable of performing high-level management and control tasks in interactive dynamic environments. At the same time, it is difficul...
Dongqing Lin, Thomas P. Wiggen, Chang-Hyun Jo
SIGIR
2010
ACM
13 years 11 months ago
On statistical analysis and optimization of information retrieval effectiveness metrics
This paper presents a new way of thinking for IR metric optimization. It is argued that the optimal ranking problem should be factorized into two distinct yet interrelated stages:...
Jun Wang, Jianhan Zhu
SEMWEB
2007
Springer
14 years 1 months ago
Differences + Triple Spaces = Active Triple Spaces
As the Semantic Web (SW) is being automatically populated with large number of RDF triples scalability issues related to wide scale reasoning occur. We believe these difficulties ...
Vlad Tanasescu
ACMSE
2008
ACM
13 years 9 months ago
Gnutella: integrating performance and security in fully decentralized P2P models
Peer-To-Peer (P2P) systems have made an enormous impact on the Internet, directly affecting its performance and security. The litigation against P2P file sharing has led some desi...
Rossana Motta, Wickus Nienaber, Jon Jenkins