• 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...