Gordon L.M. Williams

LM 1771 and LM 3880 Based FPGA Power Supply

Incremental LM-Cut

In heuristic search and especially in optimal classical planning the computation of accurate heuristic values can take up the majority of runtime. In many cases, the heuristic computations for a search node and its successors are very similar, leading to significant duplication of effort. For example most landmarks of a node that are computed by the LM-cut algorithm are also landmarks for the n...

Rats on Lm

This report describes a study project done at the Rudolf Magnus Institute (RMI) in the eld of neural network development. The goal of this study is to develop a neural network that is able to automatically classify rat behaviour from video. This project was started because of the great di erences in perception and classi cation of rat behaviour between human observers. Chapter 1 consists of a g...

(IC)LM-FUZZY TOPOLOGICAL SPACES

The aim of the present paper is to define and study (IC)$LM$-fuzzytopological spaces, a generalization of (weakly) induced $LM$-fuzzytopological spaces. We discuss the basic properties of(IC)$LM$-fuzzy topological spaces, and introduce the notions ofinterior (IC)-fication and exterior (IC)-fication of $LM$-fuzzytopologies and prove that {bf ICLM-FTop} (the category of(IC)$LM$-fuzzy topological ...

LM Tests for Random Effects

We explore practical methods of carrying out Lagrange Multiplier tests for variance components in two models in which the derivatives needed for the test are identically zero at the restricted estimates, the random effects probit model and the stochastic frontier model. The techniques are illustrated with two applications.