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[PDF] Top 20 Multiple Instance Learning of Real Valued Data

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Multiple Instance Learning of Real Valued Data

Multiple Instance Learning of Real Valued Data

... in real drug-discovery work, most data is labeled with real-valued affinity measurements obtained via laboratory ...only real data sets available as benchmarks are the Musk1 and ... See full document

28

Large Scale Visual Recognition through Adaptation using Joint Representation and Multiple Instance Learning

Large Scale Visual Recognition through Adaptation using Joint Representation and Multiple Instance Learning

... To showcase the capabilities of our technique we produced a 7604 category detector. The first categories correspond to the 200 categories from the ILSVRC2013 challenge dataset which have bounding box labeled data ... See full document

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An Empirical Analysis of Optimization for Max Margin NLP

An Empirical Analysis of Optimization for Max Margin NLP

... are multiple gold outputs for each ...with multiple gold outputs, comparing the inferred link with the gold link that is scored highest under the current ...same data as for ... See full document

7

Machine Learning Methods for Predicting Failures in Hard Drives:  A Multiple-Instance Application

Machine Learning Methods for Predicting Failures in Hard Drives: A Multiple-Instance Application

... machine learning methods applied to a difficult real-world problem: predicting com- puter hard-drive failure using attributes monitored internally by individual ...nonparametrically-distributed data. ... See full document

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Manifold-Valued Image Generation with Wasserstein Generative Adversarial Nets

Manifold-Valued Image Generation with Wasserstein Generative Adversarial Nets

... Generative modeling over natural images is one of the most fundamental machine learning problems. However, few mod- ern generative models, including Wasserstein Generative Ad- versarial Nets (WGANs), are studied ... See full document

8

Data Analysis and Management Techniques in Wireless Sensor Networks

Data Analysis and Management Techniques in Wireless Sensor Networks

... many data analysis and management ...sensor data, which is typically obtained as real-time and real valued numerical ...produce data from moment to moment. Though the data ... See full document

7

Using Customer Service Dialogues for Satisfaction Analysis with Context Assisted Multiple Instance Learning

Using Customer Service Dialogues for Satisfaction Analysis with Context Assisted Multiple Instance Learning

... In this paper, we propose a novel CAMIL model for the SSA task. We first propose a basic MIL approach with the inputs of context-matched customer utterances, then predict the utterance- level sentiment polarities and ... See full document

10

Explaining the Stars: Weighted Multiple Instance Learning for Aspect Based Sentiment Analysis

Explaining the Stars: Weighted Multiple Instance Learning for Aspect Based Sentiment Analysis

... To compare with the state-of-the-art results ob- tained by McAuley et al. (2012), we experimented with three of their full-size datasets. Splitting each dataset in half for training vs. testing, and using the optimal ... See full document

12

C PNN: Multiple instance Learning Based on Clustering and Probabilistic Neural Network

C PNN: Multiple instance Learning Based on Clustering and Probabilistic Neural Network

... single-instance learning(SIL) and multiple-instance learning(MIL), many traditional learning methods such as nearest neighbor classification, SVM and other classification ... See full document

7

Image-Based Surrogates of Socio-Economic Status in Urban Neighborhoods Using Deep Multiple Instance Learning

Image-Based Surrogates of Socio-Economic Status in Urban Neighborhoods Using Deep Multiple Instance Learning

... requires data about the local population’s socioeconomic status (SES) at detailed geographical level, however, such information is often not available, or is too expensive to ...deep multiple ... See full document

17

Operator-valued Kernels for Learning from Functional Response Data

Operator-valued Kernels for Learning from Functional Response Data

... with data in infinite-dimensional spaces, it does not appear to be commonplace for machine ...functional data, and a machine learning algorithm can process only finitely represented ...functional ... See full document

54

A Multiple Instance Learning Strategy for Combating Good Word Attacks on Spam Filters

A Multiple Instance Learning Strategy for Combating Good Word Attacks on Spam Filters

... In the second experiment, our goal was to observe the effect that training on messages injected with good words has on the susceptibility of the classifiers to attacks on the test set. As in the previous experiment, we ... See full document

32

The Impact of Randomization on Circular Complex Extreme Learning Machine for Real Valued Classification Problems

The Impact of Randomization on Circular Complex Extreme Learning Machine for Real Valued Classification Problems

... Circular transformation function, an orthogonal decision boundary of CC-ELM at hidden layer and output layer shows better performance and prediction ability of real valued data than ELM [r] ... See full document

7

Adverse event detection by integrating twitter data and VAERS

Adverse event detection by integrating twitter data and VAERS

... Twitter data and VAERS information aiming to identify Twit- ter users suffering from side effects after receiving flu ...media data to form a training set. A max rule based multi-instance ... See full document

10

Solving Multiple-Instance Problem: A Lazy Learning Approach

Solving Multiple-Instance Problem: A Lazy Learning Approach

... lazy learning algorithms to attack the multiple-instance ...the multiple-instance problem led to high performance in the drug discovery task, competitive with that of algorithms ... See full document

7

Multiple-Instance Learning from Distributions

Multiple-Instance Learning from Distributions

... the multiple-instance learning (MIL) ...a learning algorithm in the form of la- beled sets, or “bags,” of ...accurate instance- and bag-labeling functions in this setting as well as ... See full document

50

Online Full Text

Online Full Text

... n real-life world, there are many kinds of phenomena that are better described by using interval bounds than by suing precise single-valued ...for instance, among these, the most popular one is the ... See full document

6

An architecture for integrating multiple real time data feeds

An architecture for integrating multiple real time data feeds

... more 'heavy-weight' feeds from ISMA and Reuters respectively. The BASE Market Monitor product is aimed at smaller investors and home users. The feeds that it connects to provides either soft real time or time ... See full document

158

MILAMP : multiple instance prediction of amyloid proteins

MILAMP : multiple instance prediction of amyloid proteins

... employed Multiple Instance Learning (MIL). Multiple instance learning is a form of weak supervision that has been employed in a variety of machine learning problems with ... See full document

9

Analysis of Foreign Direct Investment, Agricultural Sector and Economic Growth in Tanzania

Analysis of Foreign Direct Investment, Agricultural Sector and Economic Growth in Tanzania

... a learning advantage, whereby FDI provides a room for local governments, local businesses and citizens to learn new business practices, management techniques and concepts that help them develop local businesses ... See full document

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