This paper describes the methodology used for ECMLPKDD 2015 Discovery Challenge on Model Reuse with Bike Rental Station Data (MoReBikeS). The challenge was to predict the number of bikes in the new stations three hour...
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This paper describes the methodology used for ECMLPKDD 2015 Discovery Challenge on Model Reuse with Bike Rental Station Data (MoReBikeS). The challenge was to predict the number of bikes in the new stations three hours in advance. Initially, the data for the first 25 new stations (station 201 to 225) was provided and various prediction methods were utilized on these test stations and the results were updated every week. Then the full test data for the remaining 50 stations (station 226 to 275) was given and the prediction was made using the best method obtained from the small test challenge. Several methods like Ordinary Least Squares, Poisson Regression, and Zero Inflated Poisson Regression were tried. But reusing the linear models learnt from the old stations (station 1 to 200) with lowest mean absolute error proved to be the simple and effective solution.
In this paper, we propose a novel Topic Facet Model (TFM), a probabilistic topic model that assumes all words in single sentence are generated from one topic facet. The model is applied to automatically extract forum ...
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ISBN:
(纸本)9781450334174
In this paper, we propose a novel Topic Facet Model (TFM), a probabilistic topic model that assumes all words in single sentence are generated from one topic facet. The model is applied to automatically extract forum posts semantics for uncovering the content latent structures. We further prototype a visual analytics interface to present online discussion forum semantics. We hypothesize that the semantic modeling through analytics on open online discussion forums can help users examine the post content by viewing the summarized topic facets. Our preliminary results demonstrated that TFM can be a promising method to extract topic specificity from conversational and relatively short texts in online programming discussion forums.
Current practices of fault-tolerant network design ignore the fact that most network infrastructure faults are localized or spatially correlated (i.e., confined to regions). Network operators require new tools to miti...
The utilization of acute health care and readmission rates among sickle cell disease patients are very high and are associated with significant health care costs and disparities. Mobile technology can help assess adhe...
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ISBN:
(纸本)9781509011674
The utilization of acute health care and readmission rates among sickle cell disease patients are very high and are associated with significant health care costs and disparities. Mobile technology can help assess adherence to therapeutic interventions in sickle cell disease and other pain syndromes, and decrease barriers to continuity of care (i.e., limited hospital access, travel difficulties). However, it is unclear whether this technology can improve monitoring of patients' clinical outcomes (pain, anxiety, fatigue, mobility). In this paper we report on an ongoing project to utilize web and mobile technology to monitor clinical outcomes for patients with sickle cell disease. We share preliminary results of pilot studies using the technology for pediatric patients, and describe our current efforts to reduce hospital readmission rates.
This research paper examined the connectedness of STEM faculty to others both within and across academic departments who might be potential resources for diffusion of Learner-centered practices, and the impact of part...
In this paper we show how our semantic parser (Knowledge Parser or K-Parser) identifies various kinds of event mentions in the input text. The types include recursive (complex) and non recursive event mentions. K-Pars...
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The Winograd Schema Challenge has recently been proposed as an alternative to the Turing test. A Winograd Schema consists of a sentence and question pair such that the answer to the question depends on the resolution ...
Action languages are formal models of parts of natural language that are designed to describe effects of actions. Many of these languages can be viewed as high level notations of answer set programs structured to repr...
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