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ICASSP
2010
IEEE
15 years 6 months ago
Discriminative training methods for language models using conditional entropy criteria
This paper addresses the problem of discriminative training of language models that does not require any transcribed acoustic data. We propose to minimize the conditional entropy ...
Jui-Ting Huang, Xiao Li, Alex Acero
AEI
2007
119views more  AEI 2007»
15 years 6 months ago
Anxiety-based affective communication for implicit human-machine interaction
: An implicit human-machine interaction communication framework that is sensitive to human affective states is presented. The overall goal is to achieve detection and recognition o...
Pramila Rani, Nilanjan Sarkar, Julie Adams
JIFS
2007
82views more  JIFS 2007»
15 years 6 months ago
Anomaly detection in mobile communication networks using the self-organizing map
Anomaly detection is a pattern recognition task whose goal is to report the occurrence of abnormal or unknown behavior in a given system being monitored. In this paper we propose a...
Rewbenio A. Frota, Guilherme De A. Barreto, Jo&ati...
COMPSEC
2004
91views more  COMPSEC 2004»
15 years 6 months ago
Predicting the intrusion intentions by observing system call sequences
Identifying the intentions or attempts of the monitored agents through observations is very vital in computer network security. In this paper, a plan recognition method for predict...
Li Feng, Xiaohong Guan, Sangang Guo, Yan Gao, Pein...
MCS
2002
Springer
15 years 6 months ago
Combining Classifiers of Pesticides Toxicity through a Neuro-fuzzy Approach
The increasing amount and complexity of data in toxicity prediction calls for new approaches based on hybrid intelligent methods for mining the data. This focus is required even mo...
Emilio Benfenati, Paolo Mazzatorta, Daniel Neagu, ...