[PDF] Top 20 Large Scale Multiple Kernel Learning
Has 10000 "Large Scale Multiple Kernel Learning" found on our website. Below are the top 20 most common "Large Scale Multiple Kernel Learning".
Large Scale Multiple Kernel Learning
... using multiple kernel ...machine learning toolbox which contains a modified version of SVM light (Joachims, 1999) on 500, 1, 000, 5,000, 10,000, 30,000, 50,000, 100,000, 200, 000, 500, 000, ... See full document
35
Large-scale SVD and Manifold Learning
... and Kernel Ridge Regression (KRR) for regression, Ker- nel Principle Component Analysis (KPCA) for non-linear dimensionality reduction, SVM-Rank for ranking, ...of kernel methods in terms of theory, ... See full document
24
Large Scale Visual Recognition through Adaptation using Joint Representation and Multiple Instance Learning
... detector learning (Wang et ...to learning improved “detectors in the wild”, including categories in ImageNet but not in the ILSVRC13 detection dataset, or categories defined ad-hoc for a particular user or ... See full document
31
The Role of Frontline Leadership in Organizational Learning: Evidence from Incremental Business Process Improvement
... many large scale and decentralized environments in which both data and computation are distributed through several sources instead of being collected in a single ...mining multiple databases will ... See full document
94
Cross-Validation Optimization for Large Scale Structured Classification Kernel Methods
... for learning kernel-based penalized likelihood classification methods from ...few large steps only for ...to large numerical linear algebra primitives, which can be computed very efficiently ... See full document
32
More Generality in Efficient Multiple Kernel Learning
... a large number of kernels or when kernels are made available ...learnt kernel weights could not influ- ence the pre-learnt weak ...a large scale implementation of l 1 logistic ... See full document
8
Learning Taxonomy Adaptation in Large-scale Classification
... the scale with over 100,000 cate- gories in Yahoo! ...for large scale hierarchical text classification have been ...explore multiple root-to- leaf paths as in beam-search (Norvig, ...of ... See full document
37
Consistency of the Group Lasso and Multiple Kernel Learning
... illustrates several of our theoretical results: (a) the top row corresponds to a situation where the strict consistency condition is satisfied and thus we obtain model consistent estimates with also a good estimation of ... See full document
47
The Study of the Large Scale Twitter on Machine Learning
... and large companies that have entered the \big data" ...joining multiple disparate data sources, followed by altering, aggregation, or cube ...machine learning techniques that enable what might ... See full document
5
Multi label Learning Based on Kernel Extreme Learning Machine
... data scale, multi-label learning with large scale class labels has turned out to be the research ...on kernel learning machine in this ...the kernel extreme ... See full document
9
A feature selection method based on multiple kernel learning with expression profiles of different types
... With the development of high-throughput microarray chip and RNA sequencing technology, we can obtain a large number of expression data with different types. The researchers can acquire these data from several ... See full document
16
Continuous Learning for Large scale Personalized Domain Classification
... Continual Learning: Several techniques have been proposed to mitigate the catastrophic forget- ting (Kemker et ...implicitly learning multiple classifiers and using them to make the final predictions ... See full document
11
Approximation Vector Machines for Large-scale Online Learning
... with kernel-based online learning approach, also known as the curse of kernelization, is that the model size ...prefer kernel-based online learning methods with guaranty on a limited and ... See full document
55
A Parameter-Free Classification Method for Large Scale Learning
... a large variety of constraints, like scalable training algorithms, under- standable models, easy and fast ...a large telecommunication companies like France Telecom, data mining applies to many domains: ... See full document
19
Large Scale Acquisition of Paraphrases for Learning Surface Patterns
... find multiple pat- terns that pinpoint the same answer (Ravichandran and Hovy, 2002); in statistical machine transla- tion, they have been used to find translations for unseen source language phrases ... See full document
9
Large Scale Online Kernel Learning
... online kernel learning methods is that an online learner usually has to maintain a set of support vectors (SV’s) in memory for representing the kernel-based predictive ...online learning ... See full document
43
Multiple Kernel Learning Algorithms
... combine multiple kernels instead of using a single ...from multiple sources (different representations or different feature ...several multiple kernel learning ...be large ... See full document
58
Accommodating multiple learning styles and abilities in a large scale online learning resource
... e- learning resources, we must recognize that navigating electronic environments can pose significant difficulties for some people who suffer from cognitive ...online learning environments, this can result ... See full document
13
lp-Norm Multiple Kernel Learning
... efficient large-scale opti- mization in a straight-forward fashion, for instance by direct application of standard approaches like gradient ...the kernel mixture; to solve this master problem, ... See full document
45
Learning Multiple Tasks with Kernel Methods
... multi-task learning method using the identity matrix (kernel (22)) for the case of 20 data per task when there are 200 tasks (third row in Table ...multi-task learning can still help if a ... See full document
23
Related subjects