منابع مشابه
Instrument dependency of Kubelka-Munk theory in computer color matching
Different industries are usually faced with computer color matching as an important problem. The most famous formula which is commonly used for recipe prediction is based on Kubelka-Munk K-M theory. Considering that spectrophotometer’s geometry and its situation influence the measured spectral values, the performance of this method can be affected by the instrument. In the present study, three ...
متن کاملCATEGORY THEORY as an extension of Martin - Lflf Type Theory
Category theory has tong been widely recognised as being conveniently formalisable In constructive mathematics. We describe a computer implementation of its basic concepts, as an extension of the Goteborg implementation of Martin-Lofs theory of types; we discuss some alternative formulations of the theory (and our reasons for rejecting them) and briefly comment on the problems of automating the...
متن کاملBarycentric extension of generalized matching.
In most studies of choice under concurrent schedules of reinforcement, two physically identical operanda are provided. In the "real world," however, more than two choice alternatives are often available and biases are common. This paper describes a method for studying choices among an indefinite number of alternatives when large biases are present. Twenty rats were rewarded for choosing among f...
متن کاملMatching Objects Without Language Extension
Pattern matching is a powerful programming concept which has proven its merits in declarative programming. The absence of pattern-matching in object-oriented programming languages is felt especially when tackling source code processing problems. But existing proposals for pattern matching in such languages rely on language extension, which makes their adoption overly intrusive. We propose an ap...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Combinatorial Theory, Series B
سال: 1986
ISSN: 0095-8956
DOI: 10.1016/0095-8956(86)90085-7