• MIForests

  • Referenced in 5 articles [sw22587]
  • MIForests: Multiple-instance learning with randomized trees. Multiple-instance learning (MIL) allows for training classifiers ... ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ... tracking. This paper presents a novel multiple-instance learning algorithm for randomized trees called MIForests ... these classifiers with the flexibility of multiple instance learning. In order to leverage the randomized...
  • pyLEMMINGS

  • Referenced in 1 article [sw22398]
  • pyLEMMINGS: Large Margin Multiple Instance Classification and Ranking for Bioinformatics Applications. Motivation: A major challenge ... instance-level labeling of training data. Multiple instance learning is a paradigm for handling such ... used large-margin classification methods for multiple instance learning are heuristic in nature with high ... these tasks, demonstrating the value of multiple instance learning. Furthermore, our method has shown more...
  • LabelMe

  • Referenced in 44 articles [sw36633]
  • research. Such data is useful for supervised learning and quantitative evaluation. To achieve this ... spans many object categories, often containing multiple instances over a wide variety of images...
  • MISVM

  • Referenced in 2 articles [sw22399]
  • machine (SVM) algorithms for the multiple-instance (MI) learning framework. The implementations were created ... multiple-instance classification: The standard support vector machine (SVM) formulation, widely used for supervised learning ... formulation has been heuristically extended to multiple-instance (MI) classification in various ways. In this ... related to the computational complexity of learning MI hyperplanes. We then study the empirical consequences...
  • LSDA

  • Referenced in 0 articles [sw17855]
  • through adaptation using joint representation and multiple instance learning. A major barrier towards scaling visual ... precisely localized labels. We develop methods for learning large scale recognition models which exploit joint ... strong (bounding box) labels and which transfer learned perceptual representations from strongly-labeled auxiliary tasks ... novel formulation of a joint multiple instance learning method that includes examples from object-centric...
  • LOOPS

  • Referenced in 7 articles [sw01456]
  • LOOPS) This presentation discusses concepts of a learning object-oriented problem solver (LOOPS) which ... neglected questions in multiple criteria decision making (MCDM). These are, for instance: How should implicit ... main methodological goals of LOOPS are 1) learning and 2) the integration of methods. These...
  • HPAM

  • Referenced in 3 articles [sw10931]
  • identify optimal instances of a model by searching according to multiple criteria. We test ... methodology by learning and predicting the RNA polymerase motif in prokaryotic genomes. This constitutes...
  • PEBBL

  • Referenced in 12 articles [sw13809]
  • maintaining the active subproblem pool across multiple processors, load balancing, and termination detection. PEBBL ... arising from certain machine learning applications. For sufficiently difficult problem instances, we show essentially linear...
  • ApolloScape

  • Referenced in 5 articles [sw36630]
  • instance, high accurate location for every frame in various driving videos from multiple sites, cities ... able to develop algorithms jointly consider the learning and inference of multiple tasks. In this...
  • ActiVis

  • Referenced in 1 article [sw27155]
  • large-scale deep learning models and results. By tightly integrating multiple coordinated views, such ... instance- and subset-level. ActiVis has been deployed on Facebook’s machine learning platform...
  • RCaller

  • Referenced in 3 articles [sw12718]
  • very simple to use and its learning curve is steep. It successfully simplifies and wraps ... threaded, multiple R processes can be created and handled by multiple RCaller instances in Java...
  • TS-CHIEF

  • Referenced in 3 articles [sw32511]
  • machine learning, fails to provide a relevant representation. HIVE-COTE combines multiple types of classifiers ... even modest amounts of data. For instance, training HIVE-COTE on a dataset with only...
  • PyTorch-Kaldi

  • Referenced in 2 articles [sw38119]
  • recently spawn tremendous interest within the machine learning community thanks to its simplicity and flexibility ... features for developing modern speech recognizers. For instance, the code is specifically designed to naturally ... using intuitive configuration files. PyTorch-Kaldi supports multiple feature and label streams as well...
  • ADAPT

  • Referenced in 1 article [sw39360]
  • methods. The library is suited for scikit-learn estimator object (object which implement ... agnostic fashion, offering various possibilities adapted to multiple usage. The library offers three modules corresponding ... based containing methods performing feature transformation; (ii) instance-based with the implementation of reweighting techniques...
  • VR-BFDT

  • Referenced in 1 article [sw22448]
  • directed acyclic graph. One of the common learning methods proposed for solving this problem ... instance may cause incorrect change in predicted label of the instance and finally misclassification ... terms. It has the ability of assigning multiple functions to each protein simultaneously and preserves...
  • KGAT

  • Referenced in 1 article [sw32568]
  • supervised learning problem, which assumes each interaction as an independent instance with side information encoded ... overlook of the relations among instances or items (e.g., the director of a movie ... which connect two items with one or multiple linked attributes --- are an essential factor...
  • BARON

  • Referenced in 330 articles [sw00066]
  • BARON is a computational system for solving nonconvex...
  • CoCoA

  • Referenced in 639 articles [sw00143]
  • CoCoA is a system for Computations in Commutative...
  • Coq

  • Referenced in 1837 articles [sw00161]
  • Coq is a formal proof management system. It...
  • CSDP

  • Referenced in 200 articles [sw00169]
  • CSDP, A C Library for Semidefinite Programming. This...