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OOPSLA
2004
Springer
14 years 1 months ago
Event-driven programming facilitates learning standard programming concepts
We have designed a CS 1 course that integrates event-driven programming from the very start. In [2] we argued that event-driven programming is simple enough for CS 1 when introduc...
Kim B. Bruce, Andrea Pohoreckyj Danyluk
SIGCSE
2008
ACM
88views Education» more  SIGCSE 2008»
13 years 7 months ago
Programming by choice: urban youth learning programming with scratch
This paper describes Scratch, a visual, block-based programming language designed to facilitate media manipulation for novice programmers. We report on the Scratch programming exp...
John H. Maloney, Kylie A. Peppler, Yasmin B. Kafai...
JMLR
2012
11 years 10 months ago
Perturbation based Large Margin Approach for Ranking
We consider the task of devising large-margin based surrogate losses for the learning to rank problem. In this learning to rank setting, the traditional hinge loss for structured ...
Eunho Yang, Ambuj Tewari, Pradeep D. Ravikumar
JMLR
2012
11 years 10 months ago
Metric and Kernel Learning Using a Linear Transformation
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
ESOP
2011
Springer
12 years 11 months ago
Measure Transformer Semantics for Bayesian Machine Learning
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Johannes Borgström, Andrew D. Gordon, Michael...