Many different metrics exist for evaluating parsing results, including Viterbi, Crossing Brackets Rate, Zero Crossing Brackets Rate, and several others. However, most parsing algorithms, including the Viterbi algorithm, attempt to optimize the same metric, namely the probability of getting the correct labelled tree. By choosing a parsing algorithm appropriate for the evaluation metric, better p...

This paper presents a wavelet transform based tree structure model developed and evaluated for the classification of skin lesion images into melanoma and dysplastic nevus. The tree structure model utilizes a semantic representation of the spatial-frequency information contained in the skin lesion images including textural information. Results show that the presented method is effective in discr...

PURPOSE We sought to identify asthma-related genes and to examine the potential of these genes to predict asthma, based on expression levels. METHODS The subjects were 42 asthmatics and 10 normal healthy controls. PBMC RNA was subjected to microarray analysis using a 35K array; t-tests were used to identify genes that were expressed differentially between the two groups. A multiple logistic r...

Classic inverse minimum spanning tree problem is to make the least edge weight modification such that a predetermined spanning tree is a minimum spanning tree with respect to the new edge weights. Although many applications can be formulated into this problem, fuzzy parameters are met in some real-world applications. In this paper, a type of inverse minimum spanning tree problem with fuzzy edge...

OBJECTIVE We sought to determine levels of adherence in eight European countries to recommendations for the management of type 2 diabetes and to investigate factors associated with key intermediate outcomes. RESEARCH DESIGN AND METHODS GUIDANCE was a cross-sectional study including retrospective data extraction from the medical records of people with type 2 diabetes recruited, using a shared ...

In this paper we implement a collaborative filtering algorithm on the MovieLens dataset to predict movie ratings for the users. The original matrix, which contains the movie ratings on a 1-5 scale for the users, has many missing entries. Rank-K factorization is used to construct the filtering algorithm and alternating least squares is then performed on the two lower rank matrices in order to fi...

Bortezomib is a highly selective inhibitor of the 26S proteasome and has been approved for clinical use in the treatment of relapsing and refractory multiple myeloma and mantle cell lymphoma. Clinical trials are also underway to assess the role of bortezomib in several other human malignancies, including leukemia. However, the mechanism(s) by which bortezomib acts remain to be fully understood....

High grain production of corn (Zea mays L.) can be maintained by adding inorganic N fertilizer, and also by using crop rotations that include alfalfa (Medicago sativa L.), but the relative impact of these management practices on soil quality is uncertain. We examined the effects on soil of N fertilization rate (0, 90, 180, 270 kg ha, corn phase only) in four cropping systems: CC, continuous cor...

In this paper we train an L1-regularized linear support vector machine (SVM) to determine whether the sentiment of a movie review is positive or negative. We train and test on the movie review polarity dataset introduced by Pang and Lee, 2004 [2]. Classification accuracy of the linear SVM is improved through a series of experiments for various data preprocessing techniques and data transformati...

Family Planning Perspectives year, while induced and spontaneous abortions among teenagers cost more than $180 million.* Additional resources are required to treat sexually transmitted diseases (STDs), acquired by about three million teenagers annually,5 and for programs such as the Special Supplemental Program for Women, Infants and Children. Most sexually active female adolescents are trying ...