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Many learning situations involve learning the conditional distribution ppy|xq when the training instances are drawn from the training distribution ptrpxq, even though it will later be used to predict for instances drawn from a different test distribution ptepxq. Most current approaches focus on learning how to reweigh the training examples, to make them(More)
AIM The study was performed to assess the potential role of GSTM1, GSTT1 and GSTP1 polymorphisms in the risk of nasopharyngeal cancer in Chinese population. METHOD We collected 182 cases undergoing pathologic examination and 366 controls from the affiliated hospital of Medical College of Qingdao University from April 2006 to July 2010. Genotyping was(More)
Autoregressive moving average (ARMA) models are a fundamental tool in time series analysis that offer intuitive modeling capability and efficient predictors. Unfortunately, the lack of globally optimal parameter estimation strategies for these models remains a problem: application studies often adopt the simpler autoregressive model that can be easily(More)
OBJECTIVE To observe the clinical and pathological features of adenoid cystic carcinoma(ACC) of external auditory canal (EAC, and analyze the possible factors related to prognosis. METHOD One out of 8 patients with ACC of EAC underwent tumor open biopsy. 5 patients underwent the extensive tumor resection, and 2 patients underwent the modified lateral(More)
2 Lecture 2: Evaluation of Statistical Procedures I 2 2.1 How to compare δ? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 2.2 Comparing risk function I: Bayes risk . . . . . . . . . . . . . . . . . . . . . . 3 2.3 Bayes theorem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 2.4 Bayes risk revisited . . . . . .(More)
Unsupervised learning of structured predictors has been a long standing pursuit in machine learning. Recently a conditional random field auto-encoder has been proposed in a two-layer setting, allowing latent structured representation to be automatically inferred. Aside from being nonconvex, it also requires the demanding inference of normalization. In this(More)
We report the use of zinc phthalocyanine (ZnPc) thin films as an optical gas sensor. The ZnPc thin films were fabricated by Langmuir-Blodgett technique onto quartz substrates. The responses of the thin films to various volatile organic compounds (VOCs) were recorded by using optical absorption spectroscopy under static conditions. It was found that the thin(More)
Covariate shift is a fundamental problem for learning in non-stationary environments where the conditional distribution ppy|xq is the same between training and test data while their marginal distributions ptrpxq and ptepxq are different. Although many covariate shift correction techniques remain effective for real world problems, most do not scale well in(More)
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