disagreement exploration
reinforcement learning advanced
Disagreement exploration is an exploration strategy that rewards state-action regions where model or predictor ensemble disagreement is high - Prediction disagreement acts as…
1,821 technical terms and definitions
reinforcement learning advanced
Disagreement exploration is an exploration strategy that rewards state-action regions where model or predictor ensemble disagreement is high - Prediction disagreement acts as…
dr plan, recovery time objective, rto, recovery point objective, rpo, warm standby, pilot light
Disaster recovery restores critical services and data after catastrophic site loss, widespread corruption, destructive attack or prolonged control-plane failure. High availability…
disaster recovery cloud, disaster recovery, recovery cloud
Disaster Recovery Cloud Introduction & Motivation Disaster Recovery Cloud addresses a central problem in cloud process control and rto-target-minutes prediction: how to Predict…
disaster recovery planning, disaster recovery, recovery planning
Disaster Recovery Planning Introduction & Motivation Disaster Recovery Planning addresses a central problem in ml-ops process control and rto-target-hours prediction: how…
nlp
Discourse analysis uses NLP to analyze text structure, coherence, and organization — examining how sentences connect, how topics develop, and how texts achieve communicative…
discourse analysis coherence, discourse analysis, analysis coherence
Discourse Analysis Coherence Introduction & Motivation Discourse Analysis Coherence addresses a central problem in nlp process control and discourse-structure-rhetorical-relation…
nlp
Discourse Marker Prediction is a self-supervised pre-training task where the model must predict missing or masked discourse markers (e.g., "however", "therefore", "because")…
nlp
Discourse relation recognition uses NLP to identify how sentences relate to each other — detecting relationships like cause-effect, contrast, elaboration, and temporal sequence…
Poisson distribution, binomial distribution, binary data, logistic regression, count data
Discrete data is numerical data restricted to distinct, separate values with no meaningful values in between — the number of defects on a production line, the number of emails…
generative models
Discrete Diffusion models are generative models that apply the diffusion framework to discrete data (tokens, categories, graphs) — instead of adding Gaussian noise to continuous…
discrete diode transistor package lead defect prediction machine learning, discrete diode, transistor package lead, avi, discrete diode transistor
Discrete Diode and Transistor Package Lead Defect Prediction with Machine Learning Introduction & Motivation Discrete Diode and Transistor Package Lead Defect Prediction…
digital manufacturing
Discrete Event Simulation (DES) in semiconductor manufacturing is a simulation methodology that models fab operations as a sequence of events occurring at discrete time points…
discrete logarithm problem, discrete logarithm, logarithm problem
Discrete Logarithm Problem Introduction & Motivation Discrete Logarithm Problem addresses a central problem in cryptography process control and hardness-computational-assumption…
logic sets relations functions, truth tables and proofs, induction proof explained, intro graph theory
Discrete mathematics is the branch of math that deals with countable, separate things rather than continuous ones, and it is the actual mathematical foundation underneath every…
logic, sets, relations, functions, proofs, counting, combinatorics, graphs
Discrete mathematics is the formal foundation underneath everything programmed so far in this series, taking ideas like true/false conditions, collections of files, and…
multimodal ai
Discrete Representation is encoding data into finite symbolic or codebook-based units instead of continuous vectors - It simplifies compression, reasoning, and cross-modal…
discrete random variable, count data, probability mass function, countable values, Poisson distribution, binomial distribution
A discrete variable is a numerical variable that can take only separate, countable values — typically the whole numbers 0, 1, 2, 3 — with gaps between neighboring values in which…
discrete wavelet transform (dwt) prediction, discrete wavelet transform, wavelet transform (dwt), transform (dwt) prediction, discrete wavelet, wavelet transform, transform (dwt)
Discrete Wavelet Transform (DWT) Prediction with Machine Learning Introduction & Motivation Discrete Wavelet Transform (DWT) Prediction with Machine Learning addresses a central…
manufacturing operations
Discriminant Analysis is a supervised classification method that separates predefined process states using optimal decision boundaries - It is a core method in modern…
metrology
Discrimination (or resolution) in metrology is the smallest change in a measured value that the measurement system can detect — the minimum increment that the gage can…
quality & reliability
Discrimination Ratio is a metric that quantifies how well a measurement system distinguishes part-to-part variation from measurement noise - It indicates whether collected data is…
Discriminative Active Learning DAL via Domain Adversary Introduction & Motivation Discriminative Active Learning DAL via Domain Adversary addresses a central problem in {subject}…
fine-tuning
Discriminative Fine-Tuning is the combined strategy of using different learning rates for different layers (layer-wise LR) during fine-tuning — a term coined by the ULMFiT paper…
healthcare ai
Disease Prediction from Text is the clinical NLP task of inferring likely diagnoses or disease risk from unstructured clinical narratives, patient-reported symptoms, and medical…
healthcare ai
Disease progression modeling uses machine learning to predict how diseases evolve over time — analyzing longitudinal patient data to forecast symptom trajectories, functional…
Disentangled Attention is the core attention mechanism of DeBERTa that separates token content and position into independent vectors — computing three types of attention…
representation learning
Disentangled Representations are learned data representations where independent, interpretable factors of variation in the data (such as shape, color, size, position, style) are…
multimodal ai
Disentanglement is learning representations where independent latent factors correspond to separate semantic attributes - It improves interpretability and controllability…
cmp dishing, copper dishing, metal dishing, dishing and erosion, dual damascene dishing, cmp planarization, cmp
CMP dishing is the undesirable formation of a concave recessed surface profile in metal interconnect lines during chemical mechanical planarization, occurring when the polishing…
nlp
Disinformation detection is the AI/NLP task of identifying deliberately false information created and spread with the intent to deceive, manipulate, or cause harm. Unlike…
disjoint set union advanced, disjoint set union, set union advanced, disjoint set, set union, union advanced
Disjoint Set Union Advanced Introduction & Motivation Disjoint Set Union Advanced addresses a central problem in data-structures process control and union-by-size-optimization…
dislocation density prediction, dislocation density, density prediction
Dislocation Density Prediction with Machine Learning Introduction & Motivation Dislocation Density Prediction with Machine Learning addresses a central problem in dislocation…
dislocation density threading defect prediction, dislocation density threading, density threading defect, threading defect prediction, dislocation density, density threading
Dislocation Density Threading Defect Prediction with Machine Learning Introduction & Motivation Dislocation Density Threading Defect Prediction with Machine Learning addresses…
process
Dislocation Loops are closed circular line defects enclosing an extra half-plane or missing half-plane of atoms in the crystal lattice — formed by condensation…
fairness
Disparate impact is a legal and fairness concept describing a situation where a model, algorithm, or policy disproportionately affects one demographic group compared to another…
Disparate Impact and Equalized Odds Fairness Audit Introduction & Motivation Disparate Impact and Equalized Odds Fairness Audit addresses a central problem in explainability…
dispatch rule performance drift prediction, dispatch rule performance, rule performance drift, performance drift prediction, dispatch rule, rule performance, performance drift
Dispatch Rule Performance Drift Prediction with Machine Learning Introduction & Motivation Dispatch Rule Performance Drift Prediction with Machine Learning addresses a central…
production
Dispatching is the decision logic that determines which waiting lot a tool should process next. Good dispatching rules maximize throughput and on-time delivery while respecting…
operations
Dispatching rules is the decision logic that determines which waiting lot a tool processes next under competing priorities and constraints - rule quality directly affects…
statistical dispersion, measures of dispersion, spread, variability, scatter, coefficient of variation, overdispersion
Dispersion is the statistical property of how widely the values of a dataset or distribution are spread out, and the measures of dispersion, also called measures of spread…
display backplane pixel defect prediction machine learning, display backplane, pixel defect prediction, tft, display backplane pixel defect prediction, display backplane pixel
Display Backplane Pixel Defect Prediction with Machine Learning Introduction & Motivation Display Backplane Pixel Defect Prediction with Machine Learning addresses a central…
display backplane tft uniformity prediction, display backplane tft, backplane tft uniformity, tft uniformity prediction, display backplane, backplane tft, tft uniformity
Display Backplane TFT Uniformity Prediction with Machine Learning Introduction & Motivation Display Backplane TFT Uniformity Prediction with Machine Learning addresses a central…
display driver ic, ddic, lcd driver, oled driver, source driver, gate driver, timing controller
Display driver converts digital pixel data and timing into the voltages or currents that address a display panel. Display driver ICs determine refresh, brightness uniformity…
display driver ic gamma drift prediction, display driver ic, driver ic gamma, ic gamma drift, gamma drift prediction, display driver, driver ic, ic gamma, gamma drift
Display Driver IC Gamma Drift Prediction with Machine Learning Introduction & Motivation Display Driver IC Gamma Drift Prediction with Machine Learning addresses a central problem…
quality
Disposition Decision is the formal engineering and quality judgment that determines the fate of non-conforming semiconductor material — evaluating whether held wafer lots should…
foundation model
DistilBERT is a smaller, faster, and lighter version of BERT produced through knowledge distillation — a model compression technique where a smaller "student" model is trained…
distilbert knowledge distillation, distilbert knowledge, knowledge distillation, bert ce glue kl ml nlp
DistilBERT - Knowledge Distillation Introduction & Motivation DistilBERT: distilled BERT via knowledge distillation. 40% smaller, 60% faster than BERT. Applications: mobile…
student teacher, compress
Knowledge distillation is a model-compression technique in which a small, cheap "student" model is trained to reproduce the behavior of a large, accurate "teacher" model. Instead…
Distillation for Cross-Modal Transfer Introduction & Motivation Distillation for Cross-Modal Transfer addresses a central problem in reducing the size and cost of compression…
Distillation for Cross-Modal Transfer (Extended Study) Introduction & Motivation Distillation for Cross-Modal Transfer (Extended Study) addresses a central problem in reducing…