Jiabin Liu

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Minimal test cost attribute reduction is an important issue in cost-sensitive learning. Recently, an information gain based heuristic algorithm has been designed to this problem. However, the algorithm does not often find the optimal solution. In this paper, we develop an ant colony optimization algorithm to deal with this problem. First, the attribute set(More)
Test cost is often required to obtain feature values of an object. When this issue is involved, people are often interested in schemes minimizing it. In many data mining applications, due to economic, technological and legal reasons , it is neither possible nor necessary to obtain a classifier with 100% accuracy. There may be an industrial standard to(More)
In many machine learning applications, we need to pay test cost for each data item. Due to limited money and/or time, we also have a constraint on the total test cost. This issue have been recently formalized as the optimal sub-reduct with test cost constraint problem. An information gain based heuristic algorithm has been proposed to deal with it. In this(More)
Premature ovarian failure (POF) is a long-term adverse effect of chemotherapy treatment. However, current available treatment regimens are not optimal. Emerging evidence suggests that bone marrow-derived mesenchymal stem cells (BMSCs) could restore the structure and function of injured tissues, but the homing and restorative effects of BMSCs on chemotherapy(More)
OBJECTIVES To evaluate the clinical value of noise-based tube current reduction method with iterative reconstruction for obtaining consistent image quality with dose optimization in prospective electrocardiogram (ECG)-triggered coronary CT angiography (CCTA). MATERIALS AND METHODS We performed a prospective randomized study evaluating 338 patients(More)
The direct wave and clutter wave cancellation is a key procedure for noise FM-CW (frequency-modulated continuous-wave) radar. Frequency-domain Block LMS (FBLMS) adaptive filters have better performance of clutter (include the direct wave) cancellation in low computational complex. In practical system, however, the chosen of step-size and the tap length of(More)
Attribute reduction is a classical problem in rough sets. Test-cost-sensitive attribute reduction is a generalization of the problem. It aims to find a minimal test cost set which preserves the whole information of the decision system. Some heuristic reduction algorithms have been proposed to deal with it. However, the results are unsatisfactory especially(More)
BACKGROUND The purpose of this study was to compare diagnostic accuracy by using two types of monitors. METHODS Four radiologists with 10 years experience twice interpreted the films of 77 fracture cases by using the ViewSonic P75f+ and BARCO MGD221 monitors, with a time interval of 3 weeks. Each time the radiologists used one type of monitor to interpret(More)
PURPOSE Three-dimensional (3D) dark-blood MRI has shown great potential in coronary artery plaque evaluation. However, substantial variability in quantification could result from superficial calcification because of its low signal. To address this issue, a 3D coronary dark-blood interleaved with gray-blood (cDIG) technique was developed. METHODS cDIG is(More)