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Track 1 of KDDCup 2011 aims at predicting the rating behavior of users in the Yahoo! Music system. At National Taiwan University, we organize a course that teams up students to work on both tracks of KDDCup 2011. For track 1, we first tackle the problem by building variants of existing individual models We then blend the individual models along with some(More)
Spoken document retrieval will be very important in the future network era. In this paper, we propose using a "dynamic key term lexicon" automatically extracted from the ever-changing document archives as an extra feature set in the retrieval task. This lexicon is much more compact but semantically rich, thus it can retrieve relevant documents more(More)
INTRODUCTION While neuromodulation through unihemispheric repetitive transcranial magnetic stimulation (rTMS) has shown promise for the motor recovery of stroke patients, the effectiveness of the coupling of different rTMS protocols remains unclear. AIMS We aimed to test the long-term efficacy of this strategy with different applying sequences and to(More)
Keywords: Health evaluation center Cardiovascular disease Multi-feature selection MARS a b s t r a c t Many previous studies have employed predictive models for a specific disease, but fail to note that humans often suffer from not only one disease, but associated diseases as well. Because these associated multiple diseases might have reciprocal effects,(More)
The track 2 problem in KDD Cup 2011 (music recommendation) is to discriminate between music tracks highly rated by a given user from those which are overall highly rated, but not rated by the given user. The training dataset consists of not only user rating history but also the taxonomic information of track, artist, album, and genre. This paper describes(More)
Data mining now-a-days plays an important role in prediction of diseases in health care industry. The Health care industry utilizes data mining Techniques and finds out the information which is hidden in the data set. Many diagnoses have been done for predicting diseases. Without knowing the knowledge of profound medicine and clinical experience the(More)
In today " s world data mining plays a vital role for prediction of diseases in medical industry. Stroke is a lifethreatning disease that has been ranked third leading cause of death in states and in developing countries. The stroke is a leading cause of serious, long term disability in US. The time taken to recover from stroke disease depends on patients "(More)
Japanese encephalitis (JE) virus is a member of the encephalitic flaviviruses and frequently causes neurological sequelae in a proportion of patients who survive the acute phase of the infection. In the present study, we molecularly identified viral infection in the brain of mice with rigidity of hindlimbs and/or abnormal gait, in which JE virus particles(More)