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Based on the principle of one-against-one support vector machines (SVMs) multi-class classification algorithm, this paper proposes an extended SVMs method which couples adaptive resonance theory (ART) network to reconstruct a multi-class classifier. Different coupling strategies to reconstruct a multi-class classifier from binary SVM classifiers are(More)
Estimation of the semantic relatedness between biomedical concepts has utility for many informatics applications. Automated methods fall into two broad categories: methods based on distributional statistics drawn from text corpora, and methods based on the structure of existing knowledge resources. In the former case, taxonomic structure is disregarded. In(More)
Given that unstructured data is increasing exponentially everyday, extracting and understanding the information, themes, and relationships from large collections of documents is increasingly important to researchers in many disciplines including biomedicine. Latent Dirichlet Allocation (LDA) is an unsupervised topic modeling technique based on the(More)
OBJECTIVE To evaluate whether vector representations encoding latent topic proportions that capture similarities to MeSH terms can improve performance on biomedical document retrieval and classification tasks, compared to using MeSH terms. MATERIALS AND METHODS We developed the TopicalMeSH representation, which exploits the 'correspondence' between topics(More)
Online patient/caregiver support forums such as, cancer compass, ehealthforums, and patientslikeme, allow patients and caregivers to post health-related questions. In many of these forums, there is a significant volume of repetitive questions. One possible reason for this repetition could be that as forums grow longer, patients and caregivers do not have(More)
Distributed resource sharing in P2P networks has received a great deal of attention. Resources overload make users increasingly difficult to locate the right resource. Recommender systems have been proven to resolve this problem. But Recommender systems have natural weaknesses such as their vulnerability to various attacks. So, in this paper, we present a(More)
Measuring the spurious free dynamic range (SFDR) of analog-to-digital converters (ADCs) by the fast Fourier transformation (FFT) has difficulties in performing coherent sampling and integral period truncation. The non-coherent sampling is inevitable, and the SFDR measurement results may be disturbed by the spectral leakage and the picket fence effect (PFE).(More)