In (1991), Meinwald initiated a major change of direction in the study of Plato’s Parmenides and the Third Man Argument. On her conception of the Parmenides , Plato’s language systematically distinguishes two types or kinds of predication, namely, predications of the kind ‘x is F pros ta alla’ and ‘x is F pros heauto’. Intuitively speaking, the former is the common, everyday variety of predicat...

One can eeectively utilize predicated execution to improve branch handling in instruction-level parallel processors. Although the potential beneets of predicated execution are high, the tradeoos involved in the design of an instruction set to support predicated execution can be diicult. On one end of the design spectrum, architectural support for full pred-icated execution requires increasing t...

This paper proposes and discusses issues on local and global text structures, all of them being connected to a lexical concept of predication. The main contributions of the present work comprise: (a) A novel functional X-bar (FX-bar) scheme is advised, aiming to reveal, model and relate the local, clause-level markers and text structures. (b) At global level, two FX-bar schemes are proposed, on...

The expression “reversed predication” is not common. It is used in the field of symbolic logic to define complex conditions of negation. There are two key places where reversed predication, under a different, more general application, plays a key role: (1) George Spencer-Brown’s non-numerical calculus (Laws of Form, 1969), as applied to the “sorites” of Lewis Carroll, and (2) Slavoj Žižek’s ide...

Recently, a novel image compression technique based on pattern matching was proposed, namely Pattern Matching Image Compression (PMIC). Basically, it is a lossy extension of the well known Lempel-Ziv scheme. It was proved that such an extension leads to a suboptimal compression, and that the compression ratio can as low as the so called R enyi entropy. Success of PMIC crucially depends on sever...

During the last three decades, many software reliability models have been proposed and analyzed for measuring software reliability. Those models are mathematical models that represent software failures as a random process and can be used to evaluate development status during testing. Also they proposed artificial neural network based approach for software reliability estimation and modeling. Th...

Metaphor comprehension involves an interaction between the meaning of the topic and the vehicle terms of the metaphor. Meaning is represented by vectors in a high-dimensional semantic space. Predication modifies the topic vector by merging it with selected features of the vehicle vector. The resulting metaphor vector can be evaluated by comparing it with known landmarks in the semantic space. T...

In this study, we propose a multistage neural network metalearning technique for financial time series predication. First of all, an interval sampling technique is used to generate different training subsets. Based on the different training subsets, the different neural network models with different training subsets are then trained to formulate different base models. Subsequently, to improve t...