Collaborative filtering is the most famous and adopted recommendation algorithm, which recommends items by identifying other similar users, in case of userbased collaborative filtering, or similar items, in case of item-based collaborative filtering. Significance weighting schemes assign different weights to neighboring users/items found against an active user/item. In this paper, we claim that...

Sequence kernel association test (SKAT) has become one of the most commonly used nonburden tests for analyzing rare variants. Performance of burden tests depends on the weighting of rare and common variants when collapsing them in a genomic region. Using the systolic and diastolic blood pressure phenotypes of 142 unrelated individuals in the Genetic Analysis Workshop 18 data, we investigated wh...

Text classification is a core technique for text mining and information retrieval. It has been applied to many applications in many different research and industrial areas. Term weighting schemes have to assign an appropriate weight to each term to obtain a high text classification performance. Although term weighting is one of the important modules for text classification, and text classificat...

In this paper, we investigate the impact of several local and global weighting schemes on Latent Semantic Analysis’ (LSA) ability to capture semantic similarity between two texts. We worked with texts varying in size from sentences to paragraphs. We present a comparison of 3 local and 3 global weighting schemes across 3 different standardized data sets related to semantic similarity tasks. For ...

Class imbalance problem in data, plays a critical role in use of machine learning methods for text classification since feature selection methods expect homogeneous distribution as well as machine learning methods. This study investigates two different kinds of feature selection metrics (one-sided and two-sided) as a global component of term weighting schemes (called as tffs) in scenarios where...

Mesh simplification has become a key ingredient for real-time graphics applications. However, practitioners have found that automatic simplification methods usually fail to produce satisfactory result when models of very low polygon count are desired. This is due to the fact that existing methods take no semantic or functional metric into account, and moreover, each error metric proposed previo...