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UAI
2003
13 years 9 months ago
On the Convergence of Bound Optimization Algorithms
Many practitioners who use EM and related algorithms complain that they are sometimes slow. When does this happen, and what can be done about it? In this paper, we study the gener...
Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahra...
AAAI
2008
13 years 10 months ago
Bounding the False Discovery Rate in Local Bayesian Network Learning
Modern Bayesian Network learning algorithms are timeefficient, scalable and produce high-quality models; these algorithms feature prominently in decision support model development...
Ioannis Tsamardinos, Laura E. Brown
INFOCOM
1996
IEEE
13 years 11 months ago
Latency-Rate Servers: A General Model for Analysis of Traffic Scheduling Algorithms
In this paper, we develop a general model, called Latency-Rate servers (LR servers), for the analysis of traffic scheduling algorithms in broadband packet networks. The behavior of...
Dimitrios Stiliadis, Anujan Varma
TIT
2008
76views more  TIT 2008»
13 years 7 months ago
Improved Risk Tail Bounds for On-Line Algorithms
We prove the strongest known bound for the risk of hypotheses selected from the ensemble generated by running a learning algorithm incrementally on the training data. Our result i...
Nicolò Cesa-Bianchi, Claudio Gentile
ICALT
2003
IEEE
14 years 25 days ago
Online Self-Assessment as a Learning Method
Algorithms and Programming Languages is a core subject in the BS Degree in Mathematics at the authors’ university. Some of the students are very interested in computer programmi...
Daniel Gayo-Avello, Hortensia Fernández-Cue...