This paper describes our SVM-based system and the techniques we used to adapt the approach for the specifics of the F-term patent classification subtask at NTCIR-6 Patent Retrieval Task. Our system obtained the best results according to two of the three measures used for performance evaluation. Moreover, the results from some additional experiments demonstrate that our system has benefited from...

In this work, we introduce an information-theoretic based correction term to the likelihood ratio classification method for multiple classes. Under certain conditions, the term is sufficient for optimally correcting the difference between the true and estimated likelihood ratio, and we analyze this in the Gaussian case. We find that the new correction term significantly improves the classificat...

Centroid-based text classification is one of the most popular supervised approaches to classify texts into a set of pre-defined classes with relatively low computation. Based on the vector-space model, the performance of this classification particularly depends on the way to weigh terms in documents in order to construct a representative class vector for each class and degree of spherical shape...

We consider the problem of linear dimensionality reduction for high-dimensional evolutionary data, whose distribution changes over time or with respect to a parameter. Supervised dimensionality reduction methods have proven to be very successful in real-world classification problems. When dealing with evolutionary data, we would like to perform classification that is not only robust to noise an...

In oddball tasks, the P3 component of the event-related potential systematically varies with the time between target stimuli-the target-to-target interval (TTI). Longer TTIs result in larger P3 amplitudes and shorter latencies, and this pattern of results has been linked with working memory-updating processes. Given that working memory and the P3 have both been shown to diminish with age, the c...

Resource-scarcity is a topic that is continually researched by the HLT community, especially for the SouthAfrican context. We explore the possibility of leveraging existing resources to help facilitate the development of new resources for under-resourced languages by using cross-lingual classification methods. We investigate the application of an Afrikaans genre classification system on Dutch t...

How are sequences of events that are temporarily stored in a cognitive working memory unitized, or chunked, through learning? Such sequential learning is needed by the brain in order to enable language, spatial understanding, and motor skills to develop. In particular, how does the brain learn categories, or list chunks, that become selectively tuned to different temporal sequences of items in ...

Spatially varying depth and the characteristics of observing conditions, such as seeing, airmass, or sky background, are major sources of systematic uncertainties in modern galaxy survey analyses, particularly in deep multi-epoch The Astrophysical Journal Supplement Series, 226:24 (13pp), 2016 October doi:10.3847/0067-0049/226/2/24 © 2016. The American Astronomical Society. All rights reserved....

We construct an isospectral system in terms of a real and a complex potential to show that the underlying PT symmetric complex Hamiltonian possesses a real spectra which is shared by its real partner. ∗bbagchi @ cucs.ernet.in †raj @ www.isical.ac.in Complex potentials have found a wide usage [1] in the literature especially in connection with scattering problems. Recently it has been emphasized...

In the current online Open Science context, scientific datasets and tools for deep text analysis, visualization and exploitation play a major role. We present a system for deep analysis and annotation of scientific text collections. We also introduce the first version of the SEPLN Anthology, a bi-lingual (Spanish and English) fully annotated text resource in the field of natural language proces...