• LIBSVM

  • Referenced in 1043 articles [sw04879]
  • Support Vector Machines (SVMs). We have been actively developing this package since the year ... LIBSVM has gained wide popularity in machine learning and many other areas. In this article...
  • AK-MCS

  • Referenced in 43 articles [sw18303]
  • active learning reliability method combining Kriging and Monte Carlo Simulation. An important challenge in structural ... prediction which can be used in active learning methods. The aim of this paper ... method is called AK-MCS for Active learning reliability method combining Kriging and Monte Carlo...
  • Duali

  • Referenced in 26 articles [sw01245]
  • tool for work with deterministic and passive learning stochastic models. In contrast, Dualpc is primarily ... well as both passive and active learning stochastic control models. Models developed in Duali ... first as deterministic and then as passive learning stochastic models can be exported ... solution as either passive or active learning stochastic control models in the Dualpc software...
  • DualPC

  • Referenced in 10 articles [sw08479]
  • graphical interface for deterministic, passive and active learning stochastic models as well as solvers...
  • Smalltalk

  • Referenced in 163 articles [sw01561]
  • more so for constructionist learning, at the Learning Research Group (LRG) of Xerox PARC ... Smalltalk-like languages are in continuing active development and have gathered loyal communities of users...
  • Geometer's Sketchpad

  • Referenced in 223 articles [sw04858]
  • through college—a tangible, visual way to learn mathematics that increases their engagement, understanding ... illustrate and illuminate mathematical ideas. Classroom-tested activities are accompanied by presentation sketches and detailed...
  • MOA

  • Referenced in 36 articles [sw11966]
  • very active growing community (blog). It includes a collection of machine learning algorithms (classification, regression...
  • Cabri-geometry

  • Referenced in 114 articles [sw04928]
  • Cabri-geometry is a software for learning geometry mainly at school. Now Cabri software ... various usages of Cabri-geometry and research activities by DIAM team of Laboratoire d’Informatique...
  • JCLAL

  • Referenced in 2 articles [sw16453]
  • JCLAL: a Java framework for active learning. Active Learning has become an important area ... Java Class Library for Active Learning which has an architecture that follows strong principles ... library offers a variety of active learning methods that have been proposed in the literature...
  • libact

  • Referenced in 2 articles [sw21839]
  • libact: Pool-based Active Learning in Python. libact is a Python package designed to make ... active learning easier for general users. The package not only implements several popular active learning ... strategies, but also features the active-learning-by-learning meta-algorithm that assists the users...
  • MINDFUL

  • Referenced in 4 articles [sw08865]
  • knowledge is gathered during the meta-learning activity and it is exploited to suggest parametrisation...
  • MyMathLab

  • Referenced in 4 articles [sw06737]
  • universities. MyMathLab engages students in active learning—it’s modular, self-paced, accessible anywhere with...
  • ETPS

  • Referenced in 152 articles [sw06302]
  • software verification, partial automation of various mathematical activities, promoting development of formal theories ... number of years. Students generally learn to use ETPS fairly quickly just by reading ... displaying only those parts of proofs under active consideration, saving incomplete proofs, and printing proofs...
  • sketchometry

  • Referenced in 5 articles [sw10845]
  • students to experiment and thus stimulates active discovery learning. sketchometry is based on the software...
  • BaaL

  • Referenced in 1 article [sw33568]
  • Bayesian active learning for production, a systematic study and a reusable library. Active learning ... there are many papers on new active learning techniques, these techniques rarely satisfy the constraints ... analyse the main drawbacks of current active learning techniques and we present approaches to alleviate ... real-world datasets on the deep active learning process: model convergence, annotation error, and dataset...
  • modAL

  • Referenced in 1 article [sw27051]
  • modAL: A modular active learning framework for Python. modAL is a modular active learning framework ... Python, aimed to make active learning research and practice simpler. Its distinguishing features ... oriented design (ii) full compatibility with scikit-learn models and workflows. These features make fast ... aiding the development of real-life active learning pipelines and novel algorithms as well. modAL...
  • DENFIS

  • Referenced in 56 articles [sw24183]
  • prediction. DENFIS evolve through incremental, hybrid (supervised/unsupervised), learning, and accommodate new input data, including ... fuzzy inference system based on m-most activated fuzzy rules which are dynamically chosen from ... inserted into DENFIS before or during its learning process. Fuzzy rules can also be extracted...
  • DeCAF

  • Referenced in 13 articles [sw17856]
  • open-source implementation of these deep convolutional activation features, along with all associated network parameters ... representations across a range of visual concept learning paradigms...
  • UUhistle

  • Referenced in 2 articles [sw27423]
  • system, UUhistle supports an unusually interactive learning activity in which the student takes the role...
  • GreedEx

  • Referenced in 1 article [sw08623]
  • experimental method for the active learning of greedy algorithms. Greedy algorithms constitute an apparently simple ... algorithm design technique, but its learning goals are not simple to achieve. We present ... didactic method aimed at promoting active learning of greedy algorithms. The method is focused...