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ICONIP
2009
15 years 1 months ago
Adaptive Sensor-Driven Neural Control for Learning in Walking Machines
Abstract. Wild rodents learn the danger-predicting meaning of predator bird calls through the paring of cues which are an aversive stimulus (immediate danger signal or unconditione...
Poramate Manoonpong, Florentin Wörgötter
129
Voted
PAKDD
2005
ACM
102views Data Mining» more  PAKDD 2005»
15 years 9 months ago
Automatic Occupation Coding with Combination of Machine Learning and Hand-Crafted Rules
Abstract. We apply a machine learning method to the occupation coding, which is a task to categorize the answers to open-ended questions regarding the respondent’s occupation. Sp...
Kazuko Takahashi, Hiroya Takamura, Manabu Okumura
IJON
2006
161views more  IJON 2006»
15 years 4 months ago
Evolving hybrid ensembles of learning machines for better generalisation
Ensembles of learning machines have been formally and empirically shown to outperform (generalise better than) single predictors in many cases. Evidence suggests that ensembles ge...
Arjun Chandra, Xin Yao
123
Voted
ARTMED
1999
92views more  ARTMED 1999»
15 years 3 months ago
Two-Stage Machine Learning model for guideline development
We present a Two-Stage Machine Learning (ML) model as a data mining method to develop practice guidelines and apply it to the problem of dementia staging. Dementia staging in clin...
Subramani Mani, William Rodman Shankle, Malcolm B....
TASLP
2010
169views more  TASLP 2010»
14 years 11 months ago
Integration of Statistical Models for Dictation of Document Translations in a Machine-Aided Human Translation Task
Abstract--This paper presents a model for machine aided human translation (MAHT) that integrates source language text and target language acoustic information to produce the text t...
Aarthi Reddy, Richard C. Rose