11,232 research outputs found
Essential guidelines for computational method benchmarking
In computational biology and other sciences, researchers are frequently faced with a choice between several computational methods for performing data analyses. Benchmarking studies aim to rigorously compare the performance of different methods using well-characterized benchmark datasets, to determine the strengths of each method or to provide recommendations regarding suitable choices of methods for an analysis. However, benchmarking studies must be carefully designed and implemented to provide accurate, unbiased, and informative results. Here, we summarize key practical guidelines and recommendations for performing high-quality benchmarking analyses, based on our experiences in computational biology
Essential guidelines for computational method benchmarking
In computational biology and other sciences, researchers are frequently faced
with a choice between several computational methods for performing data
analyses. Benchmarking studies aim to rigorously compare the performance of
different methods using well-characterized benchmark datasets, to determine the
strengths of each method or to provide recommendations regarding suitable
choices of methods for an analysis. However, benchmarking studies must be
carefully designed and implemented to provide accurate, unbiased, and
informative results. Here, we summarize key practical guidelines and
recommendations for performing high-quality benchmarking analyses, based on our
experiences in computational biology.Comment: Minor update
What are the impacts and cost-effectiveness of strategies to improve performance of untrained and under-trained teachers in the classroom in developing countries?
What are the impacts and cost effectiveness of strategies to improve performance of untrained and under-trained teachers in the classroom in developing countries
Rule Based Forecasting [RBF] - Improving Efficacy of Judgmental Forecasts Using Simplified Expert Rules
Rule-based Forecasting (RBF) has emerged to be an effective forecasting model compared to well-accepted benchmarks. However, the original RBF model, introduced in1992, incorporates 99 production rules and is, therefore, difficult to apply judgmentally. In this research study, we present a core rule-set from RBF that can be used to inform both judgmental forecasting practice and pedagogy. The simplified rule-set, called coreRBF, is validated by asking forecasters to judgmentally apply the rules to time series forecasting tasks. Results demonstrate that forecasting accuracy from judgmental use of coreRBF is not statistically different from that reported from similar applications of RBF. Further, we benchmarked these coreRBF forecasts against forecasts from (a) untrained forecasters, (b) an expert system based on RBF, and (c) the original 1992 RBF study. Forecast accuracies were in the hypothesized direction, arguing for the generalizability and validity of the coreRBF rules
The coupling of action and perception in musical meaning formation
The embodied perspective on music cognition has stressed the central role of the body and body move- ments in musical meaning formation processes. In the present study, we investigate by means of a behavioral experiment how free body movements in response to music (i.e., action) can be linked to specific linguistic, metaphorical descriptions people use to describe the expressive qualities they perceive in the music (i.e., per- ception). We introduce a dimensional model based on the Effort/Shape theory of Laban in order to target musical expressivity from an embodied perspective. Also, we investigate whether a coupling between action and perception is dependent on the musical background of the participants (i.e., trained versus untrained). The results show that the physical appearance of the free body movements that participants perform in response to music are reliably linked to the linguistic descriptions of musical expressiveness in terms of the underlying quality. Moreover, this result is found to be independent of the participants’ musical background
Aerospace Medicine and Biology: A continuing bibliography with indexes (supplement 291)
This bibliography lists 131 reports, articles and other documents introduced into the NASA scientific and technical information system in November 1986
Effective design, configuration, and use of digital CCTV
It is estimated that there are five million CCTV cameras in use today. CCTV is used by a wide range of
organisations and for an increasing number of purposes. Despite this, there has been little research to
establish whether these systems are fit for purpose. This thesis takes a socio-technical approach to
determine whether CCTV is effective, and if not, how it could be made more effective. Humancomputer
interaction (HCI) knowledge and methods have been applied to improve this understanding
and what is needed to make CCTV effective; this was achieved in an extensive field study and two
experiments. In Study 1, contextual inquiry was used to identify the security goals, tasks, technology
and factors which affected operator performance and the causes at 14 security control rooms. The
findings revealed a number of factors which interfered with task performance, such as: poor camera
positioning, ineffective workstation setups, difficulty in locating scenes, and the use of low-quality
CCTV recordings.
The impact of different levels of video quality on identification and detection performance was
assessed in two experiments using a task-focused methodology. In Study 2, 80 participants identified
64 face images taken from four spatially compressed video conditions (32, 52, 72, and 92 Kbps). At a
bit rate quality of 52 Kbps (MPEG-4), the number of faces correctly identified reached significance. In
Study 3, 80 participants each detected 32 events from four frame rate CCTV video conditions (1, 5, 8,
and 12 fps). Below 8 frames per second, correct detections and task confidence ratings decreased
significantly.
These field and empirical research findings are presented in a framework using a typical CCTV
deployment scenario, which has been validated through an expert review. The contributions and
limitations of this thesis are reviewed, and suggestions for how the framework should be further
developed are provided
ViZDoom Competitions: Playing Doom from Pixels
This paper presents the first two editions of Visual Doom AI Competition,
held in 2016 and 2017. The challenge was to create bots that compete in a
multi-player deathmatch in a first-person shooter (FPS) game, Doom. The bots
had to make their decisions based solely on visual information, i.e., a raw
screen buffer. To play well, the bots needed to understand their surroundings,
navigate, explore, and handle the opponents at the same time. These aspects,
together with the competitive multi-agent aspect of the game, make the
competition a unique platform for evaluating the state of the art reinforcement
learning algorithms. The paper discusses the rules, solutions, results, and
statistics that give insight into the agents' behaviors. Best-performing agents
are described in more detail. The results of the competition lead to the
conclusion that, although reinforcement learning can produce capable Doom bots,
they still are not yet able to successfully compete against humans in this
game. The paper also revisits the ViZDoom environment, which is a flexible,
easy to use, and efficient 3D platform for research for vision-based
reinforcement learning, based on a well-recognized first-person perspective
game Doom
Aerospace Medicine and Biology. A continuing bibliography with indexes
This bibliography lists 244 reports, articles, and other documents introduced into the NASA scientific and technical information system in February 1981. Aerospace medicine and aerobiology topics are included. Listings for physiological factors, astronaut performance, control theory, artificial intelligence, and cybernetics are included
- …