A central problem in multistrategy learning systems is the selection and sequencing of machine learning algorithms for particular situations. This is typically done by the system ...
Vector algorithms allow the computation of an output vector r = r1r2 :::rm given an input vector e = e1e2 :::em in a bounded number of operations, independent of m the length of t...
Effective quantifier elimination procedures for the reals allow to solve problems that can be encoded into corresponding first-order formulas including ordering constraints. In con...
Abstract. A recursive convolutional encoder can be regarded as an innite impulse response system over the Galois Field of order 2. First, in this paper, we introduce nite response ...
With the proliferation of multimedia group applications, the construction of multicast trees satisfying Quality of Service QoS requirements is becoming a problem of prime import...
R. Sriram, Govindarasu Manimaran, C. Siva Ram Murt...
An isosurface extraction algorithm which can directly generate multiresolution isosurfacesfrom volume data is introduced. It generates low resolution isosurfaces, with 4 to 25 tim...
We examine a general Bayesian framework for constructing on-line prediction algorithms in the experts setting. These algorithms predict the bits of an unknown Boolean sequence usin...
We study the performance of the Timestamp(0) (TS(0)) algorithm for self-organizing sequential search on discrete memoryless sources. We demonstrate that TS(0) is better than Move-...
We describe a new approach of the generalized Bezout identity for linear time-varying ordinary differential control systems. We also explain when and how it can be extended to line...