
FashionMNIST
 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 (MultitAsk Learning via StructurAl Regularization) package includes the following multitask learning algorithms ... Learning; TraceNorm Regularized MultiTask Learning; Alternating Structural Optimization; Incoherent LowRank and Sparse ... MultiTask Learning; MultiTask Learning with Graph Structures; Disease Progression Models; Incomplete MultiSource...

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 ... Hillclimbing heuristic searches, and the Structural ExpectationMaximization 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
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 Direct Method for Learning a Linear NonGaussian 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]
 Pystructlearning 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 RCV1v2, 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 constraintbased learning with search and score. A reduced search ... algorithms are also applicable to structure learning of dynamic Bayesian networks. References: J. Kuipers...

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

SchNet
 Referenced in 9 articles
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 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 ... realworld examples suggest that learning the structure of kinetic systems benefits from a causal...

BAYESNEAREST
 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]
 stateoftheart 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...