This tool looks for unlabeled Wikidata items in your language. It starts with a Wikidata item,
looks at all the associated Wikipedia pages, the links on all those pages, and lists the Wikidata items corresponding to the link targets.
Q25052564 - multimodal learning
Searching link targets on 6 Wikipedias...
| Item | Label [en] | Wikilabels | Link # |
|---|---|---|---|
Q1407668 [CC |  ] | Hopfield network | Hopfield network | Xarxa de Hopfield | 홉필드 네트워크 | 3 |
| Q269236 [CC | ] | Latent Dirichlet allocation | Latent Dirichlet allocation | Assignació Latent de Dirichlet | 잠재 디리클레 할당 | 3 |
| Q2539 [CC | ] | machine learning | Machine learning | 기계 학습 | Машинное обучение | 3 |
| Q7316287 [CC | ] | Restricted Boltzmann machine | Restricted Boltzmann machine | Màquina de Boltzmann restrictiva | 제한된 볼츠만 머신 | 3 |
| Q282453 [CC | ] | support vector machine | Support vector machine | Màquina de vector de suport | 서포트 벡터 머신 | 3 |
| Q3560506 [CC | ] | anomaly detection | Anomaly detection | 이상 탐지 | 2 |
| Q786435 [CC | ] | autoencoder | Autoencoder | 오토인코더 | 2 |
| Q812540 [CC | ] | Bayesian network | Bayesian network | 베이즈 네트워크 | 2 |
| Q17003119 [CC | ] | bias–variance tradeoff | Bias–variance tradeoff | 편향-분산 트레이드오프 | 2 |
| Q834200 [CC | ] | Boltzmann distribution | Boltzmann distribution | Distribució de Boltzmann | 2 |
| Q194706 [CC | ] | Boltzmann machine | Boltzmann machine | Màquina de Boltzmann | 2 |
| Q799897 [CC | ] | bootstrap aggregating | Bootstrap aggregating | 배깅 | 2 |
| Q622825 [CC | ] | cluster analysis | Cluster analysis | 클러스터 분석 | 2 |
| Q17008161 [CC | ] | cognitive computing | Cognitive computing | 인지 컴퓨팅 | 2 |
| Q1124538 [CC | ] | conditional random field | Conditional random field | 조건부 무작위장 | 2 |
| Q17084460 [CC | ] | convolutional neural network | Convolutional neural network | 합성곱 신경망 | 2 |
| Q275969 [CC | ] | crowdsourcing | Crowdsourcing | 크라우드소싱 | 2 |
| Q105078662 [CC | ] | DALL-E | DALL-E | Dall-e | 2 |
| Q172491 [CC | ] | data mining | Data mining | 데이터 마이닝 | 2 |
| Q16766476 [CC | ] | decision tree learning | Decision tree learning | 결정 트리 학습법 | 2 |
| Q16954980 [CC | ] | deep belief network | Deep belief network | Xarxa de creença profunda | 2 |
| Q197536 [CC | ] | deep learning | Deep learning | 딥 러닝 | 2 |
| Q114617315 [CC | ] | diffusion model | Diffusion model | 확산 모델 | 2 |
| Q16000077 [CC | ] | dimensionality reduction | Dimensionality reduction | 차원 축소 (통계학) | 2 |
| Q245652 [CC | ] | ensemble learning | Ensemble learning | 앙상블 학습법 | 2 |
| Q1275153 [CC | ] | expectation–maximization algorithm | Expectation–maximization algorithm | 기댓값 최대화 알고리즘 | 2 |
| Q726474 [CC | ] | factor analysis | Factor analysis | 인자 분석 | 2 |
| Q22245680 [CC | ] | feature engineering | Feature engineering | 특징 공학 | 2 |
| Q17013334 [CC | ] | feature learning | Feature learning | 특징 학습 | 2 |
| Q25325415 [CC | ] | gated recurrent unit | Gated recurrent unit | 게이트 순환 유닛 | 2 |
| Q25104379 [CC | ] | generative adversarial network | Generative adversarial network | 생성적 적대 신경망 | 2 |
| Q5532625 [CC | ] | generative model | Generative model | Model generatiu | 2 |
| Q92894 [CC | ] | Geoffrey Hinton | Geoffrey Hinton | 2 |
| Q1143367 [CC | ] | graphical model | Graphical model | 그래프 모형 | 2 |
| Q176769 [CC | ] | hidden Markov model | Hidden Markov model | 은닉 마르코프 모형 | 2 |
| Q1277447 [CC | ] | hierarchical clustering | Hierarchical clustering | 계층적 군집화 | 2 |
| Q1259145 [CC | ] | independent component analysis | Independent component analysis | 독립 성분 분석 | 2 |
| Q310401 [CC | ] | k-means clustering | K-means clustering | K-평균 알고리즘 | 2 |
| Q1071612 [CC | ] | k-nearest neighbors algorithm | K-nearest neighbors algorithm | K-최근접 이웃 알고리즘 | 2 |
| Q4330127 [CC | ] | learning to rank | Learning to rank | 순위 학습 | 2 |
| Q10861030 [CC | ] | linear regression | Linear regression | 선형 회귀 | 2 |
| Q1132755 [CC | ] | logistic regression model | Logistic regression | 로지스틱 회귀 | 2 |
| Q6673524 [CC | ] | long short-term memory | Long short-term memory | 장단기 메모리 | 2 |
| Q1191869 [CC | ] | Markov chain Monte Carlo | Markov chain Monte Carlo | 마르코프 연쇄 몬테카를로 | 2 |
| Q176827 [CC | ] | Markov random field | Markov random field | 마르코프 네트워크 | 2 |
| Q812530 [CC | ] | naive Bayes classifier | Naive Bayes classifier | 나이브 베이즈 분류 | 2 |
| Q21708200 [CC | ] | OpenAI | OpenAI | 2 |
| Q6626816 [CC | ] | outline of machine learning | Outline of machine learning | 기계 학습 알고리즘 목록 | 2 |
| Q690207 [CC | ] | perceptron | Perceptron | 퍼셉트론 | 2 |
| Q2873 [CC | ] | principal component analysis | Principal component analysis | 주성분 분석 | 2 |
| Q2664563 [CC | ] | Q-learning | Q-learning | Q 러닝 | 2 |
| Q245748 [CC | ] | random forest | Random forest | 랜덤 포레스트 | 2 |
| Q1457734 [CC | ] | recurrent neural network | Recurrent neural network | 순환 신경망 | 2 |
| Q208042 [CC | ] | regression analysis | Regression analysis | 회귀 분석 | 2 |
| Q830687 [CC | ] | reinforcement learning | Reinforcement learning | 강화 학습 | 2 |
| Q77562367 [CC | ] | self-supervised learning | Self-supervised learning | 자기 지도 학습 | 2 |
| Q1041418 [CC | ] | semi-supervised learning | Semi-supervised learning | 준지도 학습 | 2 |
| Q189436 [CC | ] | speech recognition | Speech recognition | بازشناسی گفتار | 2 |
| Q7388768 [CC | ] | SARSA | State–action–reward–state–action | SARSA | 2 |
| Q1744628 [CC | ] | statistical classification | Statistical classification | 통계적 분류 | 2 |
| Q7604400 [CC | ] | statistical learning theory | Statistical learning theory | 통계적 학습이론 | 2 |
| Q176737 [CC | ] | stochastic process | Stochastic process | Procés estocàstic | 2 |
| Q334384 [CC | ] | supervised learning | Supervised learning | 지도 학습 | 2 |
| Q18387205 [CC | ] | t-Distributed Stochastic Neighbor Embedding | T-distributed stochastic neighbor embedding | T-분포 확률적 임베딩 | 2 |
| Q7698910 [CC | ] | Temporal difference learning | Temporal difference learning | 시간차 학습 | 2 |
| Q1152135 [CC | ] | unsupervised learning | Unsupervised learning | 비지도 학습 | 2 |
| Q1860 [CC | ] | English | زبان انگلیسی | Английский язык | 2 |
| Q4677561 [CC | ] | active learning | Active learning (machine learning) | 1 |
| Q28325009 [CC | ] | AlexNet | AlexNet | 1 |
| Q4781707 [CC | ] | Apprenticeship learning | Apprenticeship learning | 1 |
| Q386780 [CC | ] | association rule learning | Association rule learning | 1 |
| Q43967068 [CC | ] | automated machine learning | Automated machine learning | 1 |
| Q4835721 [CC | ] | BIRCH | BIRCH | 1 |
| Q466303 [CC | ] | boosting | Boosting (machine learning) | 1 |
| Q2900977 [CC | ] | Brigham and Women's Hospital | Brigham and Women's Hospital | 1 |
| Q5014717 [CC | ] | CURE data clustering algorithm | CURE algorithm | 1 |
| Q3044843 [CC | ] | cancer screening | Cancer screening | 1 |
| Q115542 [CC | ] | canonical correlation analysis | Canonical correlation | 1 |
| Q192830 [CC | ] | coefficient of determination | Coefficient of determination | 1 |
| Q2462783 [CC | ] | computational learning theory | Computational learning theory | 1 |
| Q1961016 [CC | ] | Conference on Neural Information Processing Systems | Conference on Neural Information Processing Systems | 1 |
| Q2709591 [CC | ] | confusion matrix | Confusion matrix | 1 |
| Q126009142 [CC | ] | Curriculum learning | Curriculum learning | 1 |
| Q1114630 [CC | ] | DBSCAN | DBSCAN | 1 |
| Q386824 [CC | ] | data integration | Data integration | 1 |
| Q20856875 [CC | ] | DeepDream | DeepDream | 1 |
| Q17088227 [CC | ] | density estimation | Density estimation | 1 |
| Q3060767 [CC | ] | European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases | ECML PKDD | 1 |
| Q5332763 [CC | ] | echo state network | Echo state network | 1 |
| Q104844979 [CC | ] | electrochemical RAM | Electrochemical RAM | 1 |
| Q5374254 [CC | ] | empirical risk minimization | Empirical risk minimization | 1 |
| Q1921842 [CC | ] | feature vector | Feature vector | 1 |
| Q5441227 [CC | ] | feedforward neural network | Feedforward neural network | 1 |
| Q5511111 [CC | ] | fuzzy clustering | Fuzzy clustering | 1 |
| Q116709136 [CC | ] | GPT-4 | GPT-4 | 1 |
| Q125919502 [CC | ] | GPT-4o | GPT-4o | 1 |
| Q123688361 [CC | ] | Gemini | Gemini (language model) | 1 |
| Q24950778 [CC | ] | glossary of artificial intelligence | Glossary of artificial intelligence | 1 |
| Q15733006 [CC | ] | Google DeepMind | Google DeepMind | 1 |
| Q5593673 [CC | ] | grammar induction | Grammar induction | 1 |
| Q5936775 [CC | ] | human-in-the-Loop | Human-in-the-loop | 1 |
| Q30108190 [CC | ] | International Conference on Learning Representations | International Conference on Learning Representations | 1 |
| Q17087718 [CC | ] | International Conference on Machine Learning | International Conference on Machine Learning | 1 |
| Q863401 [CC | ] | International Joint Conference on Artificial Intelligence | International Joint Conference on Artificial Intelligence | 1 |
| Q85770174 [CC | ] | Isolation forest | Isolation forest | 1 |
| Q1660383 [CC | ] | Journal of Machine Learning Research | Journal of Machine Learning Research | 1 |
| Q115305900 [CC | ] | large language model | Large language model | 1 |
| Q64416166 [CC | ] | learning curve in machine learning | Learning curve (machine learning) | 1 |
| Q1228929 [CC | ] | linear discriminant analysis | Linear discriminant analysis | 1 |
| Q23038294 [CC | ] | list of datasets for machine learning research | List of datasets for machine-learning research | 1 |
| Q122423570 [CC | ] | list of datasets in computer vision and image processing | List of datasets in computer vision and image processing | 1 |
| Q387942 [CC | ] | local outlier factor | Local outlier factor | 1 |
| Q6723676 [CC | ] | Machine Learning | Machine Learning (journal) | 1 |
| Q124362453 [CC | ] | Mamba | Mamba (deep learning architecture) | 1 |
| Q6803557 [CC | ] | Mean-shift | Mean shift | 1 |
| Q55080187 [CC | ] | memtransistor | Memtransistor | 1 |
| Q6822311 [CC | ] | meta-learning | Meta-learning (computer science) | 1 |
| Q6888030 [CC | ] | modality | Modality (human–computer interaction) | 1 |
| Q85786957 [CC | ] | Multi-agent reinforcement learning | Multi-agent reinforcement learning | 1 |
| Q10843505 [CC | ] | non-negative matrix factorization | Non-negative matrix factorization | 1 |
| Q2007847 [CC | ] | OPTICS algorithm | OPTICS algorithm | 1 |
| Q25048571 [CC | ] | Occam learning | Occam learning | 1 |
| Q7094097 [CC | ] | online machine learning | Online machine learning | 1 |
| Q3620938 [CC | ] | ontology learning | Ontology learning | 1 |
| Q108281205 [CC | ] | Perceiver | Perceiver | 1 |
| Q458526 [CC | ] | Probably approximately correct learning | Probably approximately correct learning | 1 |
| Q55080117 [CC | ] | proper generalized decomposition | Proper generalized decomposition | 1 |
| Q1129066 [CC | ] | proprioception | Proprioception | 1 |
| Q18811578 [CC | ] | quantum machine learning | Quantum machine learning | 1 |
| Q218533 [CC | ] | RANSAC | Random sample consensus | 1 |
| Q327120 [CC | ] | receiver operating characteristic | Receiver operating characteristic | 1 |
| Q115570683 [CC | ] | Reinforcement Learning from Human Feedback | Reinforcement learning from human feedback | 1 |
| Q7310972 [CC | ] | relevance vector machine | Relevance vector machine | 1 |
| Q7315328 [CC | ] | reservoir computing | Reservoir computing | 1 |
| Q28324910 [CC | ] | rule-based machine learning | Rule-based machine learning | 1 |
| Q1136838 [CC | ] | self-organizing map | Self-organizing map | 1 |
| Q7449044 [CC | ] | Semantic analysis | Semantic analysis (machine learning) | 1 |
| Q25304494 [CC | ] | Sparse dictionary learning | Sparse dictionary learning | 1 |
| Q578970 [CC | ] | spectrogram | Spectrogram | 1 |
| Q9067355 [CC | ] | spiking neural network | Spiking neural network | 1 |
| Q7617824 [CC | ] | stochastic neural network | Stochastic neural network | 1 |
| Q7625208 [CC | ] | structured prediction | Structured prediction | 1 |
| Q2405291 [CC | ] | Terrence J. Sejnowski | Terry Sejnowski | 1 |
| Q113940039 [CC | ] | text-to-image model | Text-to-image model | 1 |
| Q85810444 [CC | ] | transformer | Transformer (deep learning architecture) | 1 |
| Q55636383 [CC | ] | U-Net | U-Net | 1 |
| Q819095 [CC | ] | Vapnik–Chervonenkis theory | Vapnik–Chervonenkis theory | 1 |
| Q107675654 [CC | ] | vision transformer | Vision transformer | 1 |
| Q120759195 [CC | ] | Whisper | Whisper (speech recognition system) | 1 |
| Q355198 [CC | ] | pixel | Píxel | 1 |
| Q11660 [CC | ] | artificial intelligence | هوش مصنوعی | 1 |
| Q118970497 [CC | ] | machine unlearning | 기계 탈학습 | 1 |
| Q2991667 [CC | ] | multilayer perceptron | 다층 퍼셉트론 | 1 |
| Q118151690 [CC | ] | Contrastive Learning | 대조 학습 | 1 |
| Q1172378 [CC | ] | data cleansing | 데이터 정제 | 1 |
| Q17146505 [CC | ] | similarity learning | 유사도 학습 | 1 |
| Q192776 [CC | ] | artificial neural network | 인공 신경망 | 1 |
| Q74253442 [CC | ] | knowledge distillation | 지식 증류 | 1 |
| Q608751 [CC | ] | nearest neighbor search | 최근접 이웃 탐색 | 1 |
| Q115564437 [CC | ] | ChatGPT | ChatGPT | 1 |
| Q4650720 [CC | ] | Audio | Аудио | 1 |
| Q1420778 [CC | ] | Vektor | Вектор | 1 |
| Q34508 [CC | ] | video recording | Видео | 1 |
| Q4135400 [CC | ] | No label in en! | Генерация | 1 |
| Q494756 [CC | ] | data | Данные (вычислительная техника) | 1 |
| Q229289 [CC | ] | Process | Процесс | 1 |
| Q4391499 [CC | ] | No label in en! | Реализация | 1 |
| Q234460 [CC | ] | text | Текст | 1 |
| Q11633 [CC | ] | photography | Фотография | 1 |
| Q219285 [CC | ] | Fuzia | Фьюжн (значения) | 1 |
| Q1497870 [CC | ] | prisoner transport | Этап | 1 |