The present paper deals with the learnability of indexed families L of uniformly recursive languages from positive data. We consider the in uence of three monotonicity demands and their dual counterparts to the e ciency of the learning process. The e ciency of learning is measured in dependence on the number of mind changes a learning algorithm is allowed to perform. The three notions of (dual)...

Data Envelopment Analysis (DEA) is an eciency measurement tool for evaluation of similar Decision Making Units (DMUs). In DEA, weights are assigned to inputs and outputs and the absolute eciency score is obtained by the ratio of weighted sum of outputs to weighted sum of inputs. In traditional DEA models, this measure is also equivalent with relative eciency score which evaluates DMUs in compar...

Super eciency data envelopment analysis(DEA) model can be used in ranking the performanceof ecient decision making units(DMUs). In DEA, non-extreme ecient unitshave a super eciency score one and the existing super eciency DEA models do notprovide a complete ranking about these units. In this paper, we will propose a methodfor ranking the performance of the extreme and non-extreme ecient units.

One of the issues in Data Envelopment Analysis (DEA) is sensitivity and stability region of the speci c decision making unit (DMU), included ecient and inecient DMUs. In sensitivity analysis of ecient DMUs,the largest region should be found namely stability region thatdata variations are only for ecient DMU under evaluation and the data for the remainingDMUs are assumed xed. Also ecient DMU u...

This paper examines the question of modifying the decomposition of a partially separable function in order to improve computational eciency of large-scale minimization algorithms using a conjugate-gradient inner iteration. The context and motivation are given and the application of a simple strategy discussed on examples extracted from the CUTE test problem collection.

Traditional DEA models deal with measurements of relative eciency ofDMUs regarding multiple - inputs VS. multiple-outputs. One of the drawbacksof these model is the neglect of intermediate products or linkong activities. Af-ter pointing out needs for inclusion of them to DEA models. We propose hybridmodel that can deal with intermediate products formally using this model wecan evaluate division...

We present a stereo active vision system which performs tracking tasks on smoothly moving objects in complex backgrounds. Dynamic control of the camera vergence adapt the horopter geometry to the target position and allows to pick it up easily on the basis of stereoscopic disparity features. We introduce a novel vergence control strategy based on the computation of \virtual horopters" to track ...

The potential capabilities and limitations of single ball lenses for coupling laser diode radiation to single-mode optical bers have been analyzed; parameters important to optical ber communications were specically considered. These parameters included coupling eciency, eective numerical apertures , lens radius, lens refractive index, wavelength, magnication in imaging the laser diode on the be...

Interval estimation for the proportion parameter in one-sample misclassied binary data has caught much interest literature. Re- cently, an approximate Bayesian approach been proposed. This ap- proach is simpler to implement and performs better than existing frequen- tist approaches. However, because a normal approximation marginal posterior density was used this approach, some eciency may be lo...