We show here that gene expression profiling, performed with conventional techniques and focused on a selected group of genes, when used in combination with standard clinical information, provides reliable prognostic prediction of prostate cancer (CaP). We showed previously that changes in the expression of metabolically related genes are involved in CaP progression. We then proceeded to search ...

This paper presents a prediction-and-veriication segmentation scheme using attention images from multiple xations. The scheme has two major components: (a) a hierarchical quasi-Voronoi diagram which organizes training attention images for prediction of the segmentation masks; (b) a learning-based function approximation scheme to verify the segmentation result. A major advantage of this scheme i...

Enhancing sales and operations planning through forecasting analysis and business intelligence is demanded in many industries and enterprises. Publishing industries usually pick attractive titles and headlines for their stories to increase sales, since popular article titles and headlines can attract readers to buy magazines. In this paper, information retrieval techniques are adopted to extrac...

The complete statement of a measured value should include an estimate of the level of confidence associated with the value. Properly reporting an experimental result along with its uncertainty allows other people to make judgments about the quality of the experiment, and it facilitates meaningful comparisons with other similar values or a theoretical prediction. Without an uncertainty estimate,...

It is a classical result of linear prediction theory that as long as the minimum prediction error variance is nonzero, the transfer function of the optimum linear prediction error filter for a stationary process is minimum phase, and therefore, its inverse is exponentially stable. Here, extensions of this result to the case of nonstationary processes are investigated. In that context, the filte...

Indirect branch prediction is likely to become more important in the future because indirect branches tend to be more frequent in object-oriented programs. With indirect branch prediction misprediction rates of around 25% on current processors, such branches can incur a significant fraction of branch misses even though indirect branches are less frequent than the more predictable conditional br...

Genetic Analysis Workshop 18 provided a platform for evaluating genomic prediction power based on single-nucleotide polymorphisms from single-nucleotide polymorphism array data and sequencing data. Also, Genetic Analysis Workshop 18 provided a diverse pedigree structure to be explored in prediction. In this study, we attempted to combine pedigree information with single-nucleotide polymorphism ...

Multi-hypothesis prediction extends motion compensation with one prediction signal to the linear superposition of several motioncompensated prediction signals with the result of increased coding efficiency. The multiple hypotheses in this paper are blocks in past decoded frames. These blocks are referenced by individual motion vectors and picture reference parameters incorporating long-term mem...

Life prediction of rolling element bearing is the urgent demand in engineering practice, and the effective life prediction technique is beneficial to predictive maintenance. Support vector machine (SVM) is a novel machine learning method based on statistical learning theory, and is of advantage in prediction. This paper develops SVM-based model for bearing life prediction. The inputs of the mod...

Given a query location Q in multi-dimensional space, the classical KNN problem is to return the K spatially closest answers in the database with respect to Q. The KNDN (K-Nearest Diverse Neighbor) problem is a semantic extension where the objective is to return the spatially closest result set such that each answer is sufficiently different, or diverse, from the rest of the answers. We review h...