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ICDAR
2009
IEEE
15 years 4 months ago
Learning Bayesian Networks by Evolution for Classifier Combination
Combining classifier methods have shown their effectiveness in a number of applications. Nonetheless, using simultaneously multiple classifiers may result in some cases in a reduc...
Claudio De Stefano, Francesco Fontanella, Alessand...
CORR
2011
Springer
210views Education» more  CORR 2011»
15 years 1 months ago
Online Learning of Rested and Restless Bandits
In this paper we study the online learning problem involving rested and restless multiarmed bandits with multiple plays. The system consists of a single player/user and a set of K...
Cem Tekin, Mingyan Liu
INTERSPEECH
2010
15 years 1 months ago
Data-dependent evaluator modeling and its application to emotional valence classification from speech
Practical supervised learning scenarios involving subjectively evaluated data have multiple evaluators, each giving their noisy version of the hidden ground truth. Majority logic ...
Kartik Audhkhasi, Shrikanth S. Narayanan
JMLR
2010
185views more  JMLR 2010»
15 years 1 months ago
HMMPayl: an application of HMM to the analysis of the HTTP Payload
Zero-days attacks are one of the most dangerous threats against computer networks. These, by definition, are attacks never seen before. Thus, defense tools based on a database of ...
Davide Ariu, Giorgio Giacinto
TIP
2010
94views more  TIP 2010»
15 years 1 months ago
User-Friendly Interactive Image Segmentation Through Unified Combinatorial User Inputs
One weakness in the existing interactive image segmentation algorithms is the lack of more intelligent ways to understand the intention of user inputs. In this paper, we advocate t...
Wenxian Yang, Jianfei Cai, Jianmin Zheng, Jiebo Lu...