Datasets:

J0nasW

/

AI-Dictionary

like 0

k means clustering strategy

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1.1381412744522095]

k means algorithm

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k means cluster

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clustering algorithm hepatitis

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clustering scheme

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k means clustering algorithm

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clustering algorithm

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k mean clustering algorithm

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causal inference evidence

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causal inference information

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-0.8711908459663391, -0.7985788583755493, 0.22453363239765167]

causal inference

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0.07245348393917084, -0.8830000758171082, -0.8632899522781372, 0.3674975037574768]

representation learning method

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-0.3125792145729065, 0.18214663863182068]

q learning model

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reinforcement learning model

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source domain

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spoken dialogue system

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text classification reynolds

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text classification extracting

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binary classification

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binary classification decision

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semi structured table

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matrix completion setting

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matrix completion problem

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markov logic network

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small scale target domain

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fully unlabeled target domain

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unlabeled target domain dataset

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fusing accuracy

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significantly higher accuracy

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employing game theory

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applying game theory

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game theory application

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game theory experiment

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game theoretical

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-0.1852453351020813, -0.14711080491542816]

standard game theory

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game theory

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learning process

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bilevel optimization problem

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siamese neural network

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fine grained image segmentation

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image segmentation task

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image classification problem

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high computation cost

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simple but effective

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simple while effective

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cnn learning model

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-0.0014917999505996704, 0.16196288168430328]

cnn model

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0.13424202799797058]

r cnn model

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cnn model training

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based

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llm powered

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karl benz

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based sufficient

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-0.9068032503128052, -1.0885059833526611, 0.29267260432243347]

reference optimal solution

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optimal solution

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interpretable machine learning

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automatic noisy label

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noisy label model

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noisy label method

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tackle noisy label

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0.3513726592063904]

chinese word segmentation

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activation function

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bert model

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representation learning approach

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predictive performance

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contrastive predictive

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posterior distribution estimation

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posterior distribution

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rectified linear unit

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traditional rectified unit

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optimization method

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optimization smbo strategy

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optimization solution

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high accuracy

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neural network training

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neural network based training

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neural training

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square error

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square rms

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-0.4215349555015564]

denser prediction task

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