Support Vector Machines (SVMs) are currently the state-of-the-art models for many classication problems but they suer from the complexity of their training algorithm which is at l...
Abstract. Mainstream surrogate approaches for multi-objective problems build one approximation for each objective. Mono-surrogate approaches instead aim at characterizing the Paret...
We present a new class of perceptron-like algorithms with margin in which the "effective" learning rate, defined as the ratio of the learning rate to the length of the we...
The architecture of the TriMedia CPU64 is based on the TM1000 DSPCPU. The original VLIW architecture has been extended with the concepts of vector processing and superoperations. ...
Evert-Jan D. Pol, Bas Aarts, Jos T. J. van Eijndho...
We present a new algorithm for learning a convex set in n-dimensional space given labeled examples drawn from any Gaussian distribution. The complexity of the algorithm is bounded ...