1,721,057 research outputs found
Scalable and Adaptive Goal Recognition
No full textScalable and Adaptive Goal Recognition by Neal Lesh Chairperson of Supervisory Committee: Professor Oren Etzioni Department of Computer Science and Engineering Goal recognition is the task of inferring people's goals based on observing them try to achieve their goals. In software domains, goal recognition can be used to enhance automatic help systems and enable software agents to assist people with their current tasks. Traditionally, research in plan and goal recognition has investigated examples containing less than one hundred plans and goals. We present three novel methods, based on work in machine learning and planning, for scaling up goal recognition to handle on the order of 100,000 candidate goals. First, we show how to automatically construct the plan library from domain primitives, a task previously performed by hand by a human expert. Second, we present compact representations and efficient algorithms for goal recognition. Third, we describe an unsupervised learning algorith..
Interactive Partitioning System Demonstration, Short
Get PDFPartitioning is often used to support better graph drawing; in this paper, we describe an interactive system in which graph drawing is used to support better partitioning. In our system the user is presented with a drawing of a current network partitioning, and is responsible for choosing appropriate optimization procedures and for focusing their application on portions of the network. Our pilot experiments show that our network drawings succeed in conveying some of the information needed by the human operator to steer the computation effectively, and suggest that interactive, human-guided search may be a useful alternative to fully automatic methods for network and graph partitioning
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Fast, Adaptive, and Empirically-Tested Goal Recognition.
No full textCurrent plan recognition research cannot be directly incorporated into real world applications because plan recognizers typically run in exponential time, require a complete plan library as input, and make strong assumptions about the actor's behavior. The objective of the research outlined in this paper is to produce a fast and adaptive goal recognizer that performs well in real domains. Additionally, the goal recognizer must learn its own model of the actor's behavior, instead of receiving a complete plan library. Our recognizer is designed to work on "noisy" streams of executed actions, which represent the ongoing behavior of a suboptimal, forgetful human actor who works on multiple goals at once, abandons plans, executes plans that might not achieve their goal, executes spurious actions, and learns new actions and plans. Introduction Plan recognition (e.g. (Carberry 1990; Pollack 1990)), the task of identifying actors' plans and goals given a partial view of their behavior, is ess..
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