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Discovering Real-World Use Cases for a Multimodal Math Search Interface

by Keita Del, Valle Wangari, Richard Zanibbi, Anurag Agarwal
"... To use math expressions in search, current search engines require knowing expression names or using a structure editor or string encoding (e.g., LaTeX). For mathematical non-experts, this can lead to an “intention gap ” between the query they wish to express and what the interface will allow them to ..."
Abstract - Cited by 2 (1 self) - Add to MetaCart
to express. min is a search interface that supports drawing expressions on a canvas using mouse/touch, keyboard and images. We present a user study examining whether min changes search behavior for mathematical non-experts, and to identify real-world usage scenarios for multimodal math search interfaces

Of Streams and Storms A Direct Comparison of IBM InfoSphere Streams and Apache Storm in a Real World Use Case – Email Processing

by Zubair Nabi, Eric Bouillet, Andrew Bainbridge, Chris Thomas , 2014
"... ..."
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Abstract not found

K.: WSMO-PA: Formal specification of public administration service model on semantic web service ontology

by Xia Wang, Tomas Vitvar, Vassilios Peristeras, Adrian Mocan, Sotirios K. Goudos, Konstantinos Tarabanis - In: Proceedings of the Hawaii International Conference on System Sciences (HICSS), Waikoloa, Big Island , 2007
"... In this paper we define a formal model for a Public Administration service on the basis of the Web Service Modeling Ontology (WSMO). For this purpose we employ the generic public service object model of the Governance Enterprise Architecture (GEA) providing a PA domain specific semantics. We investi ..."
Abstract - Cited by 8 (1 self) - Add to MetaCart
investigate conceptual mappings between PA entities and WSMO elements, and on the real-world use case present the detailed formal PA service model based on the WSMO service model. 1

A Social Networking Model of a Web Community

by Anna V. Zhdanova, Livia Predoiu, Tassilo Pellegrini, Dieter Fensel - IN PROCEEDINGS OF THE 10TH INTERNATIONAL SYMPOSIUM ON SOCIAL COMMUNICATION , 2007
"... We propose a model to represent closeness between entities within Web communities and social networks/folksonomies conceptually and numerically, and a community dynamics notification algorithm. The proposed models add value to community environments supporting social networking, and are specificall ..."
Abstract - Cited by 4 (0 self) - Add to MetaCart
, and are specifically applicable to the community-driven environments, where users create and share their vocabularies. We also show how this model can be applied within real-world use cases.

A Case Study: NLG meeting Weather Industry Demand for Quality and Quantity of Textual Weather Forecasts

by Somayajulu G Sripada, Neil Burnett, Ross Turner, Arria Nlg Plc, John Mastin, Dave Evans
"... In the highly competitive weather indus-try, demand for timely, accurate and per-sonalized weather reports is always on the rise. In this paper we present a case study where Arria NLG and the UK na-tional weather agency, the Met Office came together to test the hypothesis that NLG can meet the quali ..."
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the quality and quantity demands of a real-world use case. 1

unknown title

by unknown authors
"... In today‟s literature digital preservation and its concepts are usual-ly connoted with long term views on the lifecycle of IT systems and software. In addition to that long term view we believe that concepts available for digital preservation are also useful in short term views where the life span o ..."
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of systems and software is limited to a significantly shorter timeline. In this paper we discuss three different real-world use cases that benefit from DP concepts on a short term basis.

Cross-media knowledge acquisition: A case study

by Marina Giordanino, Claudio Giuliano, Alberto Lavelli, Lorenza Romano - Proceedings of the SAMT2008 Workshop on Cross-Media Information Analysis, Extraction and Management, volume 437 of CEURWS , 2008
"... Abstract. The paper describes an approach to cross-media knowledge acquisition which combines text and raw data. The approach has been applied in a real-world use case concerning wind tunnel reports within the EU-funded project X-Media. The goal is to identify the source of wind noise in a vehicle a ..."
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Abstract. The paper describes an approach to cross-media knowledge acquisition which combines text and raw data. The approach has been applied in a real-world use case concerning wind tunnel reports within the EU-funded project X-Media. The goal is to identify the source of wind noise in a vehicle

Multitask Learning,”

by Rich Caruana , Lorien Pratt , Sebastian Thrun , 1997
"... Abstract. Multitask Learning is an approach to inductive transfer that improves generalization by using the domain information contained in the training signals of related tasks as an inductive bias. It does this by learning tasks in parallel while using a shared representation; what is learned for ..."
Abstract - Cited by 677 (6 self) - Add to MetaCart
, and sketch an algorithm for multitask learning in decision trees. Because multitask learning works, can be applied to many different kinds of domains, and can be used with different learning algorithms, we conjecture there will be many opportunities for its use on real-world problems.

From Data Mining to Knowledge Discovery in Databases.

by Usama Fayyad , Gregory Piatetsky-Shapiro , Padhraic Smyth - AI Magazine, , 1996
"... ■ Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. What is all the excitement about? This article provides an overview of this emerging field, clarifying how data mining and knowledge discovery in database ..."
Abstract - Cited by 538 (0 self) - Add to MetaCart
in databases are related both to each other and to related fields, such as machine learning, statistics, and databases. The article mentions particular real-world applications, specific data-mining techniques, challenges involved in real-world applications of knowledge discovery, and current and future

Constrained K-means Clustering with Background Knowledge

by Kiri Wagstaff, Claire Cardie, Seth Rogers, Stefan Schroedl - In ICML , 2001
"... Clustering is traditionally viewed as an unsupervised method for data analysis. However, in some cases information about the problem domain is available in addition to the data instances themselves. In this paper, we demonstrate how the popular k-means clustering algorithm can be pro tably modi- ed ..."
Abstract - Cited by 488 (9 self) - Add to MetaCart
to make use of this information. In experiments with arti cial constraints on six data sets, we observe improvements in clustering accuracy. We also apply this method to the real-world problem of automatically detecting road lanes from GPS data and observe dramatic increases in performance. 1.
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