Compact Random Feature Maps

Kernel approximation using randomized feature maps has recently gained a lot of interest. In this work, we identify that previous approaches for polynomial kernel approximation create maps that are rank deficient, and therefore do not utilize the capacity of the projected feature space effectively. To address this challenge, we propose compact random feature maps (CRAFTMaps) to approximate polynomial kernels more concisely and accurately. We prove the error bounds of CRAFTMaps demonstrating their superior kernel reconstruction performance compared to the previous approximation schemes. We show how structured random matrices can be used to efficiently generate CRAFTMaps, and present a single-pass algorithm using CRAFTMaps to learn non-linear multi-class classifiers. We present experiments on multiple standard data-sets with performance competitive with state-of-the-art results.Comment: 9 page

Expanding Australian Indigenous Entrepreneurship Education Ecosystems

Australian Indigenous entrepreneurship and entrepreneurship education represents a significant opportunity for Indigenous people to enhance their entrepreneurial skills, in turn building vibrant Indigenous-led economies that support sustainable economic development and social well-being. This study is the first of its kind to explore the conceptualization of a framework of Australian Indigenous entrepreneurship education ecosystems. The purpose is to provide emergent inquiry and participatory action research into entrepreneurship education ecosystems, enabling the expansion of Indigenous research and practice; with the objective of delineating specific fundamentals associated with Indigenous entrepreneurs, such as limitations in social, human, and financial capital. We include and integrate Australian Indigenous value perspectives, including Indigenous knowledge, wisdom, and resilience, as well as the cultural captivity of entrepreneurship and Indigenous culture. The addition to the body of knowledge provides practical implications and a framework to the benefit of all ecosystem participants, including entrepreneurship educators, Indigenous entrepreneurs, policy-makers, training suppliers, and dynamic institutional participants, such as incubators, accelerators, and community development initiatives

Evidence of a Plasmoid-Looptop Interaction and Magnetic Inflows During a Solar Flare/CME Eruptive Event

Observational evidence is presented for the merging of a downward-propagating plasmoid with a looptop kernel during an occulted limb event on 2007 January 25. RHESSI lightcurves in the 9-18 keV energy range, as well as that of the 245 MHz channel of the Learmonth Solar Observatory, show enhanced nonthermal emission in the corona at the time of the merging suggesting that additional particle acceleration took place. This was attributed to a secondary episode of reconnection in the current sheet that formed between the two merging sources. RHESSI images were used to establish a mean downward velocity of the plasmoid of 12 km/s. Complementary observations from the SECCHI suite of instruments onboard STEREO-Behind showed that this process occurred during the acceleration phase of the associated CME. From wavelet-enhanced EUVI, images evidence of inflowing magnetic field lines prior to the CME eruption is also presented. The derived inflow velocity was found to be 1.5 km/s. This combination of observations supports a recent numerical simulation of plasmoid formation, propagation and subsequent particle acceleration due to the tearing mode instability during current sheet formation.Comment: 8 pages, 9 figures, ApJ (Accepted

salmon: A Symbolic Linear Regression Package for Python

One of the most attractive features of R is its linear modeling capabilities. We describe a Python package, salmon, that brings the best of R's linear modeling functionality to Python in a Pythonic way---by providing composable objects for specifying and fitting linear models. This object-oriented design also enables other features that enhance ease-of-use, such as automatic visualizations and intelligent model building

Towards a Lightweight Approach for Modding Serious Educational Games: Assisting Novice Designers

Serious educational games (SEGs) are a growing segment of the education community’s pedagogical toolbox. Effectively creating such games remains challenging, as teachers and industry trainers are content experts; typically they are not game designers with the theoretical knowledge and practical experience needed to create a quality SEG. Here, a lightweight approach to interactively explore and modify existing SEGs is introduced, a toll that can be broadly adopted by educators for pedagogically sound SEGs. Novice game designers can rapidly explore the educational and traditional elements of a game, with a stress on tracking the SEG learning objectives, as well as allowing for reviewing and altering a variety of graphic and audio game elements

Government Openness and Public Trust: The Mediating Role of Democratic Capacity

The open government paradigm implies public processes are becoming more transparent, public information is available online, and citizens and non‐governmental organizations are encouraged to interact with public administration through new platform‐based forms of participation and collaboration. Though these governmental efforts to open up organizational procedures to the public are meant to strengthen the relationship between citizens and the government, empirical evidence is currently sparse and mixed. This article argues that positive impacts of openness depend on citizens' democratic capacity defined as individual sense of empowerment to influence governmental systems. By matching individual survey data from the European Social Survey with secondary institutional data the authors investigate the relationship between individual and structural level variables. Findings indicate that structural openness is, in general, positively associated with higher trust. Further, the effect of openness on public trust is partially mediated by an individual's perception that they have meaningful opportunities for political participation