• utiml

  • Referenced in 2 articles [sw27783]
  • Multi-Label Learning. Multi-label learning strategies and others procedures to support multi- label classification...
  • MFclass

  • Referenced in 2 articles [sw34570]
  • classifier to implement active learning strategies. We also introduce a sparse approximation to enhance...
  • BliStrTune

  • Referenced in 5 articles [sw18721]
  • domain specific language. Several machine learning methods that invent strategies automatically for ATPs were proposed...
  • PaddleFL

  • Referenced in 1 article [sw34097]
  • distributed clusters. In PaddleFL, serveral federated learning strategies will be provided with application in computer ... Application of traditional machine learning training strategies such as Multi-task learning, Transfer Learning...
  • OLPS

  • Referenced in 4 articles [sw15435]
  • recent years, a variety of machine learning algorithms have been proposed to address this challenging ... state-of-the-art strategies powered by machine learning algorithms. We hope that OLPS ... learning methods and enable the performance benchmarking and comparisons of different strategies. OLPS...
  • LibD3C

  • Referenced in 4 articles [sw21627]
  • clustering and dynamic selection strategy. Selective ensemble is a learning paradigm that follows an “overproduce...
  • pomegranate

  • Referenced in 1 article [sw26684]
  • present pomegranate, an open source machine learning package for probabilistic modeling in Python. Probabilistic modeling ... sufficient statistics from data sets as a strategy for training models ... This approach trivially enables many useful learning strategies, such as out-of-core learning, minibatch...
  • ActSNClass

  • Referenced in 1 article [sw39934]
  • method, Random Forest classifier and two learning strategies (uncertainty sampling and random sampling) to performs...
  • LoTREC

  • Referenced in 27 articles [sw07684]
  • high-level language for tableau rules and strategies. It aims at covering all Kripke-semantic ... interface. It can be used as a learning system for possible worlds semantics and tableaux...
  • NuclearDiscrepancy

  • Referenced in 1 article [sw34692]
  • randomly what data to annotate, active learning strategies aim to select data ... case bounds do not imply better active learning performance. The proposed active learner improves significantly...
  • Fast-DENSER

  • Referenced in 1 article [sw38583]
  • capable of simultaneously optimising the topology, learning strategy and any other required hyper-parameters...
  • RANKS

  • Referenced in 1 article [sw39968]
  • scheme embedding both local and global learning strategies for the analysis of biomolecular networks...
  • QuickNAT

  • Referenced in 1 article [sw35858]
  • errors in auxiliary labels. With this learning strategy, we are able to use large neuroimaging...
  • MAMBO

  • Referenced in 1 article [sw07685]
  • appeal to a broad spectrum of learning strategies and preferences. Parallel to the theoretical presentations...
  • PALMapper

  • Referenced in 1 article [sw31862]
  • QPALMA that relies on a machine learning strategy is highly sensitive but suffers from...
  • Hyperproof

  • Referenced in 25 articles [sw22172]
  • Hyperproof is a system for learning the principles of analytical reasoning and proof construction, consisting ... integrating these different forms of information. This strategy allows students to focus on the information...
  • Metaopt

  • Referenced in 8 articles [sw34722]
  • small numbers of examples are needed. To learn minimal time-complexity programs, including non-deterministic ... puzzles, robot strategies, and real-world string transformation problems show that Metaopt learns minimal cost...
  • NEFCLASS-X

  • Referenced in 4 articles [sw27865]
  • obtained by a learning process and how interactive strategies for pruning rules and variables from...
  • Drop-Activation

  • Referenced in 1 article [sw41511]
  • Cubuk} et al., “AutoAugment: learning augmentation strategies from data”, in: Proceedings of the IEEE conference...
  • GURLS

  • Referenced in 3 articles [sw10895]
  • supervised learning. GURLS is targeted to machine learning practitioners, as well as non-specialists ... training strategies for medium and large-scale learning, and routines for efficient model selection...