Rules work on one representation; similarity compares two representations
نویسندگان
چکیده
منابع مشابه
Visual short-term memory for two sequential arrays: one integrated representation or two separate representations?
Two dot arrays, each containing a different set of six randomly selected locations from a 5 x 5 matrix, were presented briefly and were separated by an interstimulus interval (ISI) of 0, 200, 500, or 1,500 msec. Subjects were asked to remember these locations and to report whether a probe dot matched the locations in memory. To find out whether the subjects had formed an integrated representati...
متن کاملSentence Similarity on Structural Representations
Most previous approaches used various kinds of plain similarity features to represent the similarity of a sentence pair, and one of its limitations is its weak representation ability. This paper introduces the relational structures representation (shallow syntactic tree, dependency tree) to compute sentence similarity. Experimental results manifest that our approach achieves higher performance ...
متن کاملOne-Level Phonology: Autosegmental Representations and Rules as Finite Automata
When phonological rules are regarded as declarative descriptions, it is possible to construct a model of phonology in which rules and representations are no longer distinguished and such procedural devices as rule-ordering are absent. In this paper we present a finite-state model of phonology in which automata are the descriptions and tapes (or strings) are the objects being described. This pro...
متن کاملMotion representation of one - dimensional cellular automaton rules
Generalizing the motion representation we introduced for number-conserving rules, we give a systematic way to construct a generalized motion representation valid for non-conservative rules using the expression of the current, which appears in the discrete version of the continuity equation, completed by the discrete analogue of the source term. This new representation is general , but not uniqu...
متن کاملFuzzy classification rules based on similarity
The paper deals with the aggregation of classification rules by means of fuzzy integrals, in particular with the fuzzy measures employed in that aggregation. It points out that the kinds of fuzzy measures commonly encountered in this context do not take into account the diversity of classification rules. As a remedy, a new kind of fuzzy measures is proposed, called similarity-aware measures, an...
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: Behavioral and Brain Sciences
سال: 2005
ISSN: 0140-525X,1469-1825
DOI: 10.1017/s0140525x05240013