The extended classifier systems (XCS) by producing a set of rules is (classifier) trying to solve learning problems as online. XCS is a rather complex combination of genetic algorithm and reinforcement learning that using genetic algorithm tries to discover the encouraging rules and value them by reinforcement learning. Among the important factors in the performance of XCS is the possibility to...

This paper proposes a fast coding unit (CU) depth decision algorithm for intra coding of high efficiency video coding using an artificial neural network (ANN) and a support vector machine (SVM). Machine learning provides a systematic approach for developing a fast algorithm for early CU splitting or termination to reduce intra coding computational complexity. Appropriate features for training S...

The extended classifier systems (XCS) by producing a set of rules is (classifier) trying to solve learning problems as online. XCS is a rather complex combination of genetic algorithm and reinforcement learning that using genetic algorithm tries to discover the encouraging rules and value them by reinforcement learning. Among the important factors in the performance of XCS is the possibility to...

Event tracking is one of the basic tasks of sensor networks. An intensity-based event localization algorithm was developed at the University of Bern [1]. The inaccuracy of the measurements and resource limitations in terms of energy consumption, storage capacity, processing and transmitting time make a real world implementation of this algorithm a challenging and exciting task. In this internsh...

In this paper, a multichannel form of the two-dimensional (2-D) delta-domain lattice filter has been designed. Motivated by the success of 2-D delta-domain lattice filters, delta-domain concepts are generalized to the multichannel case. By a good choice of the transformation matrix that relates the q-domain and delta-domain filters, the channels can be handled independently, which makes the alg...

A controller to control the output of a Static Var Compensator (SVC) to damp power system oscillations is developed in this paper. The proposed SVC controller is based on the discrete time filtered direct control theory by which a multilayer neural network with the hyperbolic tangent activation function is derived. Advanced weight tuning algorithm based on a modified delta rule and projection a...

A program fails. Under which circumstances does this failure occur? One single algorithm, the delta debugging algorithm, suffices to determine these failure-inducing circumstances. Delta debugging tests a program systematically and automatically to isolate failureinducing circumstances such as the program input, changes to the program code, or executed statements.

Frequently, the number of input variables (features) involved in a problem becomes too large to be easily handled by conventional machine-learning models. This paper introduces a combined strategy that uses a real-coded genetic algorithm to find the optimal scaling (RCGA-S) or scaling + projection (RCGA-SP) factors that minimize the Delta Test criterion for variable selection when being applied...

the infomax algorithm is a popular method in blind source separation problem. in this article an extension of the infomax algorithm is proposed that is able to separate mixed signals with any sub- or super-gaussian distributions. this ability is the results of using two different nonlinear functions and new coefficients in the learning rule. in this paper we show how we can use the distribution...

BACKGROUND Problem-based Learning (PBL) has been suggested as a key educational method of knowledge acquisition to improve medical education. We sought to evaluate the differences in medical school education between graduates from PBL-based and conventional curricula and to what extent these curricula fit job requirements. METHODS Graduates from all German medical schools who graduated betwee...