Two important research areas in statistical approaches for automated text categorization are similarity-based learning algorithms and associated thresholding strategies. The combination of these techniques significantly influences the overall performance of text categorization systems. After researching common techniques in both areas, we describe a lazy linear classifier known as the keyword a...

We calculate the linear response thermopower S of a quantum point contact using the Landauer formula and therefore assume non-interacting electrons. The purpose of the paper is to compare analytically and numerically the linear thermopower S of non-interacting electrons to the low-temperature approximation, [Formula: see text], and the so-called Mott expression, [Formula: see text], where G(μ,T...

The paper approaches the problem of imageto-text with attention-based encoder-decoder networks that are trained to handle sequences of characters rather than words. We experiment on lines of text from a popular handwriting database with different attention mechanisms for the decoder. The model trained with softmax attention achieves the lowest test error, outperforming several other RNN-based m...

We consider several types of internal queries: questions about subwords of a text. As the main tool we develop an optimal data structure for the problem called here internal pattern matching. This data structure provides constant-time answers to queries about occurrences of one subword x in another subword y of a given text, assuming that |y| = O(|x|), which allows for a constant-space represen...

this paper contains an overview of basic formulations and approaches to text classification. This paper surveys the algorithms used in text categorization: handcrafted rules, decision trees, decision rules, on-line learning, linear classifier, Rocchio’s algorithm, k Nearest Neighbor (kNN), Support Vector Machines (SVM).

We propose a method for segmentation of ex-pository texts based on hierarchical agglomera-tive clustering. The method uses paragraphs as the basic segments for identifying hierarchical discourse structure in the text, applying lexical similarity between them as the proximity test. Linear segmentation can be induced from the identified structure through application of two simple rules. However t...

ost modern computer systems share a foundation which is built of directories containing files. The files consist of text which is composed of characters. The text that is stored within this hierarchy is linear. For much of our current way of doing business, this linear organization is sufficicnt. Howcvcr, for morcand moreapplications, a linear organization is not adequate. For example, the docu...

We summarize the fully automatic approach to the TRECVID 2010 Known Item (KIS) and Instance Search (INS) tasks of the budapest_acad team in the JUMAS Consortium with Fondazione Bruno Kessler who provided the ASR technologies. Our submissions summarized in Table 1 use linear combinations of the following basic techniques. • Meta: Text retrieval based on video metadata. • ASR: Text retrieval base...

This study uses a moving windows self-paced reading task to assess text comprehension of beginning and intermediate-level simplified texts and authentic texts by L2 learners engaged in a text-retelling task. Linear mixed effects (LME) models revealed statistically significant main effects for reading proficiency and text level on the number of text-based propositions recalled: More proficient r...

In this paper, we prove the existence and uniqueness of solutions of the β-Cauchy problem of second order β-difference equations [Formula: see text] [Formula: see text], in a neighborhood of the unique fixed point [Formula: see text] of the strictly increasing continuous function β, defined on an interval [Formula: see text]. These equations are based on the general quantum difference operator ...