Sentence examples for been designed to classify from inspiring English sources
Since the conventional feedforward neural networks for character recognition have been designed to classify a large number of classes with one large network structure, inevitably it poses the very complex problem of determining the optimal decision boundaries for all the classes involved in a high-dimensional feature space.
To reduce dimensionality of pattern space, FILTERSIM has been designed to classify structural patterns using selected filter statistics as specific linear combinations of pattern pixel values that represent different properties.
The ICPC has been designed to classify symptoms and diagnoses in primary care [ 10].
The protein database Clusters of Orthologous Group COGG) has been designed to classify proteins from completely sequenced genomes based on orthology [ 27].
The new 2010 ACR/EULAR (European League Against Rheumatism) criteria for RA have been designed to classify patients with early RA in order to better study this group of patients.
The new 2010 American College of Rheumatology/European League Against Rheumatism (ACR/EULAR) criteria for rheumatoid arthritis (RA) have been designed to classify early onset RA, but has not been studied to identify RA in patients with arthritis seen in routine clinical care where correct 'classification' of patients, when they are not selected for having RA would be important.
Most decision tree classifiers are designed to classify the data with categorical or Boolean class labels.
Most decision tree classifiers are designed to classify the objects whose attributes and class labels are single values.
Furthermore, a multi-class SVM classifier is designed to classify the extracted density character vectors into different density levels.
The proposed classifier is designed to classify AM, BFSK, OFDM, DS-CDMA, 4-ASK, 8-ASK, BPSK, QPSK, 8-PSK, 16-PSK, 16-QAM, and 64-QAM modulation types.
The classifiers were designed to classify the cases into the following 4 groups corresponding to the cervical histology: negative, CIN1, CIN2/3, and cancer (SCC or Adeno-Ca).
