Associative networks are a connectionist language model with the ability to handle dynamic data. We used two associative networks to categorize random sets of related Wikipedia articles with only their raw text as input. We then compared the resulting categorization to a gold standard: the manual categorization by Wikipedia authors and used a neural network as a baseline. We also determined a h...

Business intelligence tools have enabled novel and relatively low-cost capabilities to collect and analyze vast amount of customer information. Accumulation of customer specific information along with transactional data empowers firms to categorize customers into segments and offer customized prices. We study the impact of price discrimination and market segmentation on competition and consumer...

Since digital audio is encoded as discrete samples of the audio waveform, much can be said about a recording by the statistical properties of these samples. In this paper, a dataset of CD audio samples is analysed; the probability mass function of each audio clip informs a feature set which describes attributes of the musical recording related to loudness, dynamics and distortion. This allows m...

Semantic web content management poses much manual work onto the community. To reduce this labour we have devised Caravela, a generic approach to dynamic content integration and automatic categorization. Content and documents of different types can be integrated from diverse semi-structured sources and categorized along multiple dimensions. Automatic linking provides dynamic categorizations at n...

The categorization process of information from pure data or learned in unsupervised artificial neural networks is still manual, especially in the labeling phase. Such a process is fundamental to knowledge representation [6], especially for symbol-based systems like logic, natural language processing and textual information retrieval. Unfortunately, applying categorization theory in large volume...

Designed by biological and social evolutionary pressures, facial expressions of emotion comprise specific facial movements to support a near-optimal system of signaling and decoding. Although highly dynamical, little is known about the form and function of facial expression temporal dynamics. Do facial expressions transmit diagnostic signals simultaneously to optimize categorization of the six ...

The Exemplar-Based Random Walk (EBRW) model (Nosofsky & Palmeri, 1997; Palmeri, 1997) incorporates elements of Nosofsky’s (1986) generalized context model (GCM) of categorization and Logan’s (1988) instance theory of automaticity. The model assumes that categories are represented in terms of stored exemplars. Exemplars are represented as points in a multidimensional psychological space with sim...

In this paper, we introduce 11-20 (Image Insight 2020), a multimedia analytics approach for analytic categorization of image collections. Advanced visualizations collections exist, but they need tight integration with machine model to support the task categorization. Directly employing computer vision and interactive learning techniques gravitates towards search. Analytic categorization, howeve...

introductiongeopolitics is a word that conjures up images. in one sense, the word provokes ideas of war, empire, and diplomacy: geopolitics is the practice of states controlling and competing for territory. geopolitics had a history before the term itself came in to use in 1899 by swede rudolf kjellen. it is apparent that many of great figures in the history of political thought, from the ancie...