Explanation-based generalization is used to extract a specialized grammar from the original one using a training corpus of parse trees. This allows very much faster parsing and gives a lower error rate, at the price of a small loss in coverage. Previously, it has been necessary to specify the tree-cutting criteria (or operationality criteria) manually; here they are derived automatically from t...

AIastradTechniques for vegetative propagation of 10-year-old blue SP.'Uce (Picea pungens EngeJm.) by stem cuttings were investigated. Month of collection of the cuttings and application of rooting hormones were examined. In addition, cutting position, cutting length and caliper were examined in relation to rooting response. December was the best collection date for rooting and root production. ...

Original scientific papers This paper mainly addresses a two-dimensional defective stocks guillotine cutting stock problem where stock of different sizes is available. Herein a new heuristic algorithm which is based on tree is proposed to discuss this problem. In particular, such an algorithm consists of two parts: the first part is an initial solution of the cutting stock problem where there a...

An additional author should appear in the article: Rachel Cutting. Her correspondence details are “Assisted Conception Unit, Jessop Wing, Royal Hallamshire Hospital, Tree Root Walk, Sheffield, S10 2SF, UK; rachel. cutting@ sth. nhs. uk”. The updated Contributors statement should read: Contributors Witt and Miller designed and wrote the protocol. Pavitt provided expert assistance on trial design...

This paper proposes a method for eliminating multicollinearity from linear regression models. Specifically, we select the best subset of explanatory variables subject to the upper bound on the condition number of the correlation matrix of selected variables. We first develop a cutting plane algorithm that, to approximate the condition number constraint, iteratively appends valid inequalities to...

This paper discusses the approximation of solutions to several NP-complete optimization problems related to the supervisory control of discrete-event systems. Approximation calculations for the minimal-cost sensor-selection problem in a partial observation, centralized control setting is first discussed. It is shown that approximate solutions to this problem cannot always be calculated with a g...

A study was conducted of the fire ignition potential of high-speed disk cutting saws (hotsaws). Surface temperature increases for the operating saw blade were measured during normal cutting and when stopping the disk using friction against a stump. Observed temperature increases during normal operation were as high as 17◦ C above ambient. Tooth temperatures tended to be highest, but were not ob...

Computerized classification tests classify examinees into two or more levels while maximizing accuracy and minimizing test length. The majority of currently available item selection methods maximize information at one point on the ability scale, but in a test with multiple cutting points selection methods could take all these points simultaneously into account. If for each cutting point one obj...

The cutting stock problem it is of great interest in relation with several real world problems. Basically it means that there are some smaller pieces that have to be cut from a greater stock piece, in such a way, that the remaining part of the stock piece should be minimal. The classical solution methods of this problem generally need a great amount of calculation. In order to reduce the comput...