THEORETICAL RESEARCH ROLLER FOR SMALL TILLAGE MACHINE

Nonextensive information theoretical machine

In this paper, we propose a new discriminative model named nonextensive information theoretical machine (NITM) based on nonextensive generalization of Shannon information theory. In NITM, weight parameters are treated as random variables. Tsallis divergence is used to regularize the distribution of weight parameters and maximum unnormalized Tsallis entropy distribution is used to evaluate fitti...

New Theoretical Frameworks for Machine Learning

Machine Learning, a natural outgrowth at the intersection of Computer Science and Statistics, has evolvedinto a broad, highly successful, and extremely dynamic discipline. Over the past twenty years, machinelearning methods have been applied in an ever increasing range of areas from natural language processingto speech recognition to computer vision to computational biology, just to...

Fuel requirements and machine capacity for tillage and planting operations on a clay loam soil in isfahan

The Theoretical Analysis of Test Result's Errors for the Roller Type Automobile Brake Tester

The main testing parameter of the roller brake tester is the braking force. Actually, there are some differences in results even if the same vehicle is tested on the same tester. So it will bring trouble to evaluate the braking performance accurately. Based on force analysis, the mathematical model of the roller opposite force type automobile brake tester is built in this article. And then the ...

CS 598 : Theoretical Machine Learning

In the last lecture, we were looking at clustering sparse graphs in the stochastic block model with parameters p > q, where p = a n , and q = b n , we saw that we could not do perfect clustering as w.h.p, there will be a constant fraction of isolated vertices. However, we shall see that we can still do weak recovery, i.e., by allowing a small fraction of vertices to be misplaced, we will recove...