• Fashion-MNIST

  • Referenced in 49 articles [sw31842]
  • learning algorithms, as it shares the same image size, data format and the structure...
  • MetaMorph

  • Referenced in 20 articles [sw01575]
  • Adaptation is facilitated through organizational structural change and two learning mechanisms: learning from past experiences...
  • MALSAR

  • Referenced in 5 articles [sw14319]
  • MALSAR (Multi-tAsk Learning via StructurAl Regularization) package includes the following multi-task learning algorithms ... Learning; Trace-Norm Regularized Multi-Task Learning; Alternating Structural Optimization; Incoherent Low-Rank and Sparse ... Multi-Task Learning; Multi-Task Learning with Graph Structures; Disease Progression Models; Incomplete Multi-Source...
  • graph2vec

  • Referenced in 10 articles [sw32340]
  • Graphs. Recent works on representation learning for graph structured data predominantly focus on learning distributed...
  • bnstruct

  • Referenced in 4 articles [sw29260]
  • package bnstruct: Bayesian Network Structure Learning from Data with Missing Values. Bayesian Network Structure Learning ... Hill-climbing heuristic searches, and the Structural Expectation-Maximization algorithm. Available scoring functions are BDeu...
  • FACTORIE

  • Referenced in 13 articles [sw08947]
  • express various aspects of model structure, inference, and learning. By combining the traditional, declarative, statistical...
  • SAP2000

  • Referenced in 27 articles [sw17041]
  • create structural models rapidly and intuitively without long learning curve delays. Now you can harness...
  • DirectLiNGAM

  • Referenced in 23 articles [sw15504]
  • Direct Method for Learning a Linear Non-Gaussian Structural Equation Model. Structural equation models...
  • MATEDA

  • Referenced in 5 articles [sw07769]
  • methods allow the analysis of the structures learned by the probabilistic models, the visualization...
  • Rseslib

  • Referenced in 16 articles [sw30225]
  • rough set and machine learning algorithms and data structures in Java. It provides algorithms...
  • pystruct

  • Referenced in 5 articles [sw14411]
  • Pystruct-learning structured prediction in Python. Structured prediction methods have become a central tool ... many machine learning applications. While more and more algorithms are developed, only very few implementations ... providing a general purpose implementation of standard structured prediction methods, both for practitioners...
  • RCV1

  • Referenced in 123 articles [sw07279]
  • benchmark several widely used supervised learning methods on RCV1-v2, illustrating the collection’s properties ... versions of the category assignments and taxonomy structures, via online appendices...
  • BiDAG

  • Referenced in 3 articles [sw31037]
  • collection of MCMC methods for Bayesian structure learning of directed acyclic graphs (DAGs), both from ... employs a hybrid approach, combining constraint-based learning with search and score. A reduced search ... algorithms are also applicable to structure learning of dynamic Bayesian networks. References: J. Kuipers...
  • AIS-BN

  • Referenced in 25 articles [sw02223]
  • integrals and the structural advantages of Bayesian networks, (2) a smooth learning method...
  • SchNet

  • Referenced in 9 articles [sw40890]
  • ideally suited to learn representations for structured data and speed up the exploration of chemical ... those layers in SchNet: a novel deep learning architecture modeling quantum interactions in molecules ... more challenging benchmark with chemical and structural variations that suggests the path for further work...
  • Make3D

  • Referenced in 10 articles [sw42759]
  • Make3d: Learning 3d scene structure from a single still image. Make3D converts your still picture...
  • CausalKinetiX

  • Referenced in 4 articles [sw37630]
  • Learning stable and predictive structures in kinetic systems. Learning kinetic systems from data ... computationally efficient framework, called CausalKinetiX, that identifies structure from discrete time, noisy observations, generated from ... real-world examples suggest that learning the structure of kinetic systems benefits from a causal...
  • BAYES-NEAREST

  • Referenced in 4 articles [sw02847]
  • data by using the K2 structural learning algorithm. The Nearest Neighbor algorithm is used...
  • PointNet

  • Referenced in 46 articles [sw31209]
  • PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation. Point cloud ... important type of geometric data structure. Due to its irregular format, most researchers transform such...
  • Gudhi

  • Referenced in 43 articles [sw08777]
  • state-of-the-art algorithms and data structures for computational topology. An application of interest ... data analysis, where one is interested in learning topological invariants of a shape, sampled ... implemented with a simplex tree data structure. The simplex tree is an efficient and flexible...