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IJON
2006
161views more  IJON 2006»
13 years 10 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
ARTMED
1999
92views more  ARTMED 1999»
13 years 9 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....
DCOSS
2010
Springer
13 years 8 months ago
Optimized Java Binary and Virtual Machine for Tiny Motes
Abstract. We have developed TakaTuka, a Java Virtual Machine optimized for tiny embedded devices such as wireless sensor motes. TakaTuka1 requires very little memory and processing...
Faisal Aslam, Luminous Fennell, Christian Schindel...
TASLP
2010
169views more  TASLP 2010»
13 years 4 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
ESOP
2011
Springer
13 years 1 months ago
Measure Transformer Semantics for Bayesian Machine Learning
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Johannes Borgström, Andrew D. Gordon, Michael...