The quality of large-scale recommendation systems has been insufficient in terms of the accuracy of prediction. One of the major reasons is caused by the sparsity of the samples, ...
Maximum margin clustering (MMC) is a recent large margin unsupervised learning approach that has often outperformed conventional clustering methods. Computationally, it involves n...
This paper describes a global progressive register allocator, a register allocator that uses an expressive model of the register allocation problem to quickly find a good allocat...
We present a general approach to the FPGA technology mapping problem that applies to any logic block composed of lookup tables LUTs and can yield optimal solutions. The connecti...
With the arrival of high throughput genotyping techniques, the detection of likely genotyping errors is becoming an increasingly important problem. In this paper we are interested...