This paper examines the realization of acausal weighting patterns with two-point boundary-value descriptor systems (TPBVDSs). We restrict our attention to the subclass of TPBVDSs which are extendible, i.e., whose input-output weighting pattern can be extended outwards indefinitely, and stationary, so that their weighting pattern is shift-invariant. Then, given an infinite acausal shift-invarian...

In this paper, the selection of H = weighting functions for general practical applications is investigated. It is shown that an H = weighting function for a single-input}single-output (SISO) plant can be obtained by considering a series of connections of elementary low-order plants. For a constrained control e!ort, an explicit weighting function expression is derived for the "rst time. A novel ...

In bioinformatics, we are interested in new techniques and advances in classification of biomedical documents for the hope of extracting useful biomedical knowledge out of the classification task. In this paper we introduce a feature weighting method for improving biomedical text classification. The method is effective in inducing weighted features from text data for classification. The weight ...

In this paper, we propose Semantic Similarity calculation measurement using INformation contents on EdGEs of ontology (SSINEGE) which is a hybrid edgeand information contents-based methodology. SSINEGE is devised to solve the limitation of the applying the same weighted edges by edgebased similarity. So, SSINEGE adopts information-contents theory to calculate the varied weights of edges. The va...

In this paper we describe a method for weighting surveys of a sub-sample of voters. We focus on the case of Latino voters. And we analyze data for three surveys: two opinion polls leading up to the 2004 presidential election, and the national exit poll from the 2004 election. We take advantage of much data when it is available, the large amount of data describing the demographics of Hispanic ci...

Context tree weighting method is a universal compression algorithm for FSMX sources. Though we expect that it will have good compression ratio in practice, it is difficult to implement it and in many cases the implementation is only for estimating compression ratio. Though Willems and Tjalkens showed practical implementation using not block probabilities but conditional probabilities, it is use...

The paper presents several techniques for selecting noun phrases for interactive query expansion following pseudo-relevance feedback and a new phrase search method. A combined syntactico-statistical method was used for the selection of phrases. First, noun phrases were selected using a part-ofspeech tagger and a noun-phrase chunker, and secondly, different statistical measures were applied to s...

This paper describes a Markov random field (MRF) model with weighting parameters optimized by conditional random field (CRF) for on-line recognition of handwritten Japanese characters. The model extracts feature points along the pen-tip trace from pen-down to pen-up and sets each feature point from an input pattern as a site and each state from a character class as a label. It employs the coord...