图 书 馆开课单位--美国NEC实验室
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1Deep Learning for Efficient Discriminative Parsing[高效识别分析的深层学习]
Ronan Collobert(美国NEC实验室) We propose a new fast purely discriminative algorithm for natural language parsing, based on a "deep" recurrent convolutional graph transfor...
热度：39
Ronan Collobert(美国NEC实验室) We propose a new fast purely discriminative algorithm for natural language parsing, based on a "deep" recurrent convolutional graph transfor...
热度：39
2Foundations of Statistical Learning Theory : Empirical Infe-rence in high-dimention spaces [统计学习理论基础：实证推理在高维空间]
Léon Bottou;Vladimir Vapnik(美国NEC实验室)
热度：46
Léon Bottou;Vladimir Vapnik(美国NEC实验室)
热度：46
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4Large-Scale Semi-Supervised Learning[大规模半监督学习]
Jason Weston(美国NEC实验室) Labeling data is expensive, whilst unlabeled data is often abundant and cheap to collect. Semi-supervised learning algorithms that can use both types ...
热度：54
Jason Weston(美国NEC实验室) Labeling data is expensive, whilst unlabeled data is often abundant and cheap to collect. Semi-supervised learning algorithms that can use both types ...
热度：54
5Learning using Many Examples[学习使用许多例子]
Léon Bottou(美国NEC实验室) The statistical learning theory suggests to choose large capacity models that barely avoid over-fitting the training data. In that perspective, all da...
热度：51
Léon Bottou(美国NEC实验室) The statistical learning theory suggests to choose large capacity models that barely avoid over-fitting the training data. In that perspective, all da...
热度：51
6A Unified Architecture for Natural Language Processing: Deep Neural Networks with Multitask Learning[自然语言处理的统一架构：多任务学习的深度神经网络]
Ronan Collobert(美国NEC实验室) We describe a single convolutional neural network architecture that given a sentence, outputs a host of language processing predictions: part-of-speec...
热度：118
Ronan Collobert(美国NEC实验室) We describe a single convolutional neural network architecture that given a sentence, outputs a host of language processing predictions: part-of-speec...
热度：118
7Torch[火炬]
Ronan Collobert(美国NEC实验室) Torch provides a Matlab-like environment for state-of-the-art machine learning algorithms. It is easy to use and very efficient, thanks to a simple-yet...
热度：103
Ronan Collobert(美国NEC实验室) Torch provides a Matlab-like environment for state-of-the-art machine learning algorithms. It is easy to use and very efficient, thanks to a simple-yet...
热度：103
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9Deep Learning for Efficient Discriminative Parsing[基于深度学习的区分性句法分析]
Ronan Collobert(美国NEC实验室) We propose a new fast purely discriminative algorithm for natural language parsing, based on a "deep" recurrent convolutional graph transfor...
热度：47
Ronan Collobert(美国NEC实验室) We propose a new fast purely discriminative algorithm for natural language parsing, based on a "deep" recurrent convolutional graph transfor...
热度：47
10Large-Scale Collaborative Prediction Using a Nonparametric Random Effects Model[基于非参数随机效应模型的大规模协同预测]
Kai Yu(美国NEC实验室) A nonparametric model is introduced that allows multiple related regression tasks to take inputs from a common data space. Traditional transfer learni...
热度：73
Kai Yu(美国NEC实验室) A nonparametric model is introduced that allows multiple related regression tasks to take inputs from a common data space. Traditional transfer learni...
热度：73
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