Sentence examples for specifically supervised from inspiring English sources

The proposed architecture is then analyzed in the context of a set of representative information extraction problems, more specifically supervised and unsupervised channel equalization, and blind separation of convolutive mixtures.

Specifically, supervised analysis of array profiling data identified BIRC5 (survivin), BIRC3 (cIand) and TNFα as the most deregulated transcripts in Non Responder tumors under these conditions.

Specifically, we aim to compare short- and long-term effects of a prostate cancer-specific supervised exercise program to educational material of physical activity utilizing printed resources on cardiovascular and metabolic risk factors.

Specifically, we aim to compare short- and long-term effects of a prostate cancer-specific supervised exercise program to a standard public health physical activity strategy utilizing printed resources on cardiovascular and metabolic risk factors.

Specifically, a supervised replicated softmax model (sRSM), based on restricted Boltzmann machines and distributed representations, is proposed to learn naturally discriminative topics.

Specifically, the supervised variant (SMVCCAE) first takes the target training data and splits it into N views based on multi-view learning, thus creating multiple views which may be disjoint or partially disjoint feature subsets.

The exercise intervention consists of two specifically tailored supervised moderate intensity aerobic exercise sessions weekly over 8-weeks.

Specifically, the supervised methods consistently achieved much higher accuracies than unsupervised methods on both simulated and experimental data, and prediction accuracies for simulated and experimental data were similar.

In this paper we specifically propose supervised learning-based strategies, SRFA and SVRFA, to reconcile the redundancy in the highly correlated SNP data to identify the subset of SNPs that enables the most efficient classification of individuals at risk for disease.

Specifically, we create supervised learning models and evaluate their performance on classifying students as low, moderate, or high performers.

Specifically, we applied supervised principal components analysis [16] in each dataset and selected subsets of probe sets that created a maximum significant survival split.