Summary

• This paper presents a neighborhood graph index approach for query-by-example search using dynamic time warping (DTW) on Gaussian mixture model (GMM) posteriorgram sequences.
• By applying a newly introduced combination of greedy-search (GS) and breadth-first search (BFS) algorithms to the selected k-DR graph index, the proposed method efficiently achieves query-by-example STD.
• Experimental results on the MIT lecture corpus demonstrate that the proposed method works much faster than a state-of-art method by more than one order magnitude, keeping almost the same precision.

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Summary

• Given a java API, the tool collects its related web pages from the Internet, extracts java code snippets and their surrounding descriptive texts embedded in the pages, then assembles them into usage examples for programmers.
• In order to help programmers capture more kinds of usages of the target API by browsing fewer examples, our tool clusters and ranks the listed examples based on the target API's usage.
• Besides, as a practical tool, APIExample provides multiple aspects of frequently-used information about using the target API in a concise user interface with friendly user experience.

Summary

• In this paper we examine the search behaviours of developers using the Strathcona source code example recommendation system over the period of three years.
• We investigate the number of query facts software engineers included in their queries as they searched for source code examples.
• Our experience with this data suggest that example search tools should both support searching with multiple facts as well and facilitate the construction of multi-fact queries.

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Summary

• We propose a method of searching for geographic entities in an unknown place with a query by example in a known place.
• Most of the sites hold classic attribute-based or keyword-based interfaces for entity retrieval; however, specifying each attribute users want is time-consuming, and keywords are not effective for representing users' complex intentions.
• Our proposed method is robust for estimating the similarity using not only selected examples, but also implicit negative feedback, which is predicted by how the user selects examples as a query in the map interface.

Summary

• The Delphi method has proven a popular tool in information systems research for identifying and prioritizing issues for managerial decision-making.
• This article provides rigorous guidelines for the process of selecting appropriate experts for the study and gives detailed principles for making design choices during the process that ensure a valid study.
• A detailed example of a study to identify key factors affecting the diffusion of e-commerce in Sub-Saharan Africa illustrates the design choices that may be involved.

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Summary

• Cognitive research has mainly focused on worked examples, which typically provide students with a written worked-out didactical solution to a problem to study.
• The model can behave didactically or naturally, and the observation can take place face to face, on video, as a screen recording of the model's computer screen, or as an animation.
• This article reviews the contributions of the research on both types of example-based learning on questions such as why example-based learning is effective, for what kinds of tasks and learners it is effective, and how examples should be designed and delivered to students to optimize learning.

Summary

• A fundamental problem of finding software applications that are highly relevant to development tasks is the mismatch between the high-level intent reflected in the descriptions of these tasks and low-level implementation details of applications.
• After a programmer enters a natural-language query that contains high-level concepts (e.g., MIME, datasets), Exemplar retrieves applications that implement these concepts.
• The results of our studies show that the combined ranking of application descriptions and API documents yields the most-relevant search results.

Summary

• We examine example-critiquing, a technique for enabling users to incrementally construct preference models by critiquing example options that are presented to them.
• We evaluate the performance of our model-based suggestion techniques with both synthetic and real users.
• Results show that such suggestions are highly attractive to users and can stimulate them to express more preferences to improve the chance of identifying their most preferred item by up to 78%.

Summary

• Users often search for entities instead of documents, and in this setting, are willing to provide extra input, in addition to a series of query terms, such as category information and example entities.
• We propose a general probabilistic framework for entity search to evaluate and provide insights in the many ways of using these types of input for query modeling.
• We focus on the use of category information and show the advantage of a category-based representation over a term-based representation, and also demonstrate the effectiveness of category-based expansion using example entities.

Summary

• The task of defining, expressing, and maintaining these rules can be difficult, especially for proprietary and non-widely used formalisms.
• Our approach has two main advantages: (1) it always proposes a transformation for a source model, even when rule induction is impossible or difficult to achieve; (2) it is independent from the source and target formalisms; aside from the examples, no extra information is needed.
• To that end, we use two strategies based on two search-based algorithms: particle swarm optimization and simulated annealing.

Summary

• The coordination of administrative and clinical information on veterans served by the VA health care system is a daunting and critical function of the Department.
• This article provides an overview of VA Health Services Research and Development Service initiatives to assist researchers in using extant VA databases to study patient-centered health care outcomes.
• As examples, studies using the VA's Patient Treatment File (PTF) and the Beneficiary Identification and Records Locator System (BIRLS) Death File are described.

Summary

• The current ethical structure for collaborative international health research stems largely from developed countries' standards of proper ethical practices.
• The result is that ethical committees in developing countries are required to adhere to standards that might impose practices that conflict with local culture and unintended interpretations of ethics, treatments, and research.
• This paper presents a case example of a joint international research project that successfully established inclusive ethical review processes as well as other groundwork and components necessary for the conduct of human behavior research and research capacity building in the host country.

Summary

• The Guided Local Search method has been successfully applied to a number of hard combinatorial optimisation problems from the well-known TSP and QAP to real-world problems such as frequency assignment and workforce scheduling.
• It is demonstrated that the potential applications of GLS are not limited to optimisation problems of discrete nature but also to difficult continuous optimisation problems.
• The problem examined gives an illustrative example of the behaviour of GLS, providing insights on the mechanisms of the algorithm.

Summary

• We present Sourcerer API Search (SAS), a search interface to find API usage examples in large code repositories.
• SAS facilitates finding API usage examples by providing three unique features: (i) code snippets view for each result that shows the portions of code where APIs are used; (ii) Tag-cloud view of popular words to facilitate query reformulation, and (iii) filtering results using APIs to narrow search results.
• SAS uses a code index where each code entity is indexed with terms not only found in the entity but also in other entities having similar API usage.

Summary

• A diagnostic policy is a complete description of the decision-making actions of a diagnostician (i.e., tests followed by a diagnostic decision) for all possible combinations of test results.
• An optimal diagnostic policy is one that minimizes the expected total cost, which is the sum of measurement costs and misdiagnosis costs.
• The studies show that in most cases the systematic search methods produce better diagnostic policies than the greedy methods.

• There is no summary for this article.