We show that selection on an input of size N can be performed on a P-node hypercube (P = N/(log N)) in time O(N/P) with high probability, provided each node can process all the in...
Confidence-weighted (CW) learning [6], an online learning method for linear classifiers, maintains a Gaussian distributions over weight vectors, with a covariance matrix that repr...
—1 End to end QoS of communication systems is essential for users but their performance evaluation is a complex issue. The ion of such systems are usually given by multidimension...
In this paper, we introduce a method for approximating the solution to inference and optimization tasks in uncertain and deterministic reasoning. Such tasks are in general intract...
We describe an algorithm for clustering using a similarity graph. The algorithm (a) runs in O(n log3 n + m log n) time on graphs with n vertices and m edges, and (b) with high pro...