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» A distributed machine learning framework
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SIGCSE
2009
ACM
149views Education» more  SIGCSE 2009»
16 years 3 months ago
GINI: a user-level toolkit for creating micro internets for teaching & learning computer networking
GINI (GINI Is Not Internet) is an open-source toolkit for creating virtual micro Internets for teaching and learning computer networking. It provides lightweight virtual elements ...
Muthucumaru Maheswaran, Alexis Malozemoff, Daniel ...
DATAMINE
2008
112views more  DATAMINE 2008»
15 years 3 months ago
PRIE: a system for generating rulelists to maximize ROC performance
Rules are commonly used for classification because they are modular, intelligible and easy to learn. Existing work in classification rule learning assumes the goal is to produce ca...
Tom Fawcett
KDD
2005
ACM
163views Data Mining» more  KDD 2005»
16 years 3 months ago
Data Sparsity Issues in the Collaborative Filtering Framework
Abstract. With the amount of available information on the Web growing rapidly with each day, the need to automatically filter the information in order to ensure greater user effici...
Miha Grcar, Dunja Mladenic, Blaz Fortuna, Marko Gr...
JMLR
2010
121views more  JMLR 2010»
14 years 10 months ago
Sparse Semi-supervised Learning Using Conjugate Functions
In this paper, we propose a general framework for sparse semi-supervised learning, which concerns using a small portion of unlabeled data and a few labeled data to represent targe...
Shiliang Sun, John Shawe-Taylor
KDD
2000
ACM
153views Data Mining» more  KDD 2000»
15 years 6 months ago
The generalized Bayesian committee machine
In this paper we introduce the Generalized Bayesian Committee Machine (GBCM) for applications with large data sets. In particular, the GBCM can be used in the context of kernel ba...
Volker Tresp