67,471 research outputs found
Tree Boosting Data Competitions with XGBoost
This Master's Degree Thesis objective is to provide understanding on how to approach a supervised learning predictive problem and illustrate it using a statistical/machine learning algorithm, Tree Boosting. A review of tree methodology is introduced in order to understand its evolution, since Classification and Regression Trees, followed by Bagging, Random Forest and, nowadays, Tree Boosting. The methodology is explained following the XGBoost implementation, which achieved state-of-the-art results in several data competitions. A framework for applied predictive modelling is explained with its proper concepts: objective function, regularization term, overfitting, hyperparameter tuning, k-fold cross validation and feature engineering. All these concepts are illustrated with a real dataset of videogame churn; used in a datathon competition
Massive ontology interface
This paper describes the Massive Ontology Interface (MOI), a web portal which facilitates interaction with a large ontology (over 200,000 concepts and 1.6M assertions) that is built automatically using OpenCyc as a backbone. The aim of the interface is to simplify interaction with the massive amounts of information and guide the user towards understanding the ontologyâs data. Using either a text or graph-based representation, users can discuss and edit the ontology. Social elements utilizing gamification techniques are included to encourage users to create and collaborate on stored knowledge as part of a web community.
An evaluation by 30 users comparing MOI with OpenCycâs original interface showed significant improvements in user understanding of the ontology, although full testing of the interfaceâs social elements lies in the future
Equilibria Under the Probabilistic Serial Rule
The probabilistic serial (PS) rule is a prominent randomized rule for
assigning indivisible goods to agents. Although it is well known for its good
fairness and welfare properties, it is not strategyproof. In view of this, we
address several fundamental questions regarding equilibria under PS. Firstly,
we show that Nash deviations under the PS rule can cycle. Despite the
possibilities of cycles, we prove that a pure Nash equilibrium is guaranteed to
exist under the PS rule. We then show that verifying whether a given profile is
a pure Nash equilibrium is coNP-complete, and computing a pure Nash equilibrium
is NP-hard. For two agents, we present a linear-time algorithm to compute a
pure Nash equilibrium which yields the same assignment as the truthful profile.
Finally, we conduct experiments to evaluate the quality of the equilibria that
exist under the PS rule, finding that the vast majority of pure Nash equilibria
yield social welfare that is at least that of the truthful profile.Comment: arXiv admin note: text overlap with arXiv:1401.6523, this paper
supersedes the equilibria section in our previous report arXiv:1401.652
What is an affordance and can it help us understand the use of ICT in education?
This paper revisits the concept of affordance and explores its contribution to an understanding of the use of ICT for teaching and learning. It looks at Gibsonâs original idea of affordance and at some of the difficulties long associated with the use of the word. It goes on to describe the translation of the concept of affordance into the field of design through the work, in particular, of Norman. The concept has since been translated into research concerning ICT and further opportunities and difficulties emerge. The paper locates key points of divergence within the usage of âaffordanceâ, as involving direct perception, invariant properties and complementarity. It concludes by arguing that affordance offers a distinctive perspective on the use of ICT in education because of its focus on possibilities for action
Spartan Daily, December 3, 1991
Volume 97, Issue 63https://scholarworks.sjsu.edu/spartandaily/8200/thumbnail.jp
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