[PDF] Top 20 A Meta-Top-Down Method for Large-Scale Hierarchical Classification

... Meta learning is a subfield of Machine learning where automatic learning algorithms are applied on meta-data about machine learning ...such meta-data to understand how automatic learning can become ... See full document

... Recent large-scale hierarchical classifica- tion tasks typically have tens of thousand- s of classes as well as a large number of samples, for which the dominant solution is the ... See full document

... on meta-learning (PR-M) as described in Section 5, and (iv) fourth, based on a method presented by Babbar et ...fully hierarchical (FH) ...in classification accuracy. However, as discussed ... See full document

... ECOC method operates by changing the definition of the class a single classifier has to learn ...binary classification but it can be applied with respect to the multi-class ...this method is always ... See full document

... A number of multi-biometrics systems based on score-level fusion have appeared in recent years. Kittler et al. [19] experimented with several fusion techniques for face and voice, including sum, product, minimum, median, ... See full document

... In hierarchical classification, class labels are structured, that is each label value corresponds to one non-root node in a tree, where the inter-class relationship for classification is specified by ... See full document

... Our method is applicable to any problem with an intrinsically high dimensional feature space where traditional dimensionality reduction techniques are commonly ... See full document

... number of mentions in each entity cluster is also large. Current systems cope with this by either dividing the data into blocks to reduce the search space (Hern´andez and Stolfo, 1995; McCallum et al., 2000; ... See full document

... Clustering is a function that arises frequently in problems related to network design and organization. A classic book [33] defines clustering as “grouping of similar objects”, and discusses many mainstream clustering ... See full document

... Formulation of Control Problem 35 4.1 Control Problem Formulation 35 4.2 Mathematical Model of the Hierarchical Control structure 40 4.3 Summary 41 On-line Coordination methods 42 5.1 In[r] ... See full document

... on large-scale sentence alignment is in machine translation, where adding pseudo-parallel pairs to an existing parallel dataset has been shown to boost the trans- lation performance (Munteanu and Marcu, ... See full document

... MODL method and the unsu- pervised equal frequency method with 10 intervals, as a ...MODL method selects a discretization having one single interval, leading to the elimination of the ...MODL ... See full document

... with large-scale problems were also proposed in [8, 129]: although they may be interesting from an ap- plication viewpoint, they do not help to compare against our ...automated hierarchical text ... See full document

... Blockchain has a number of attractive features that make it well-suited for IoT. First, blockchain is decentralized without a single point of failure, so it is more secure and robust than traditional centralized ... See full document

... of large bodies of hierarchically structured ...of large bodies of hierarchically structured information can help users gain insight into relevant features of the data, construct accurate mental models of ... See full document

... Using this method, a complex problem is separated into simpler parts, which can be programmed easily. At each stage, the instructions or steps can be checked for errors in logic, corrected or modified without any ... See full document

... down strongly with every increase of the k-best size. Their memory consumption likewise inflates early. We actually stopped running experiments with deep grammars for Arabic→English at k = 7 000 for the T ... See full document

... transform method for salient features extraction of visual attention, which use low-pass filtering to highlight the salient signal with the amplitude spectrum of methods ...the method of cutting the ... See full document

... The simplest method for calculating the financial savings would have been in terms of bed days saved from the reduced LOS. A crude calculation of effi- ciency savings can be deduced based on the reduction achieved ... See full document

... The second step involved a more thorough reading to code the transcripts, following the recommendations by Creswell (2012) and Saldaña (2009). In the first cycle of coding, the data was openly coded with no preconceived ... See full document