trainingObjective
P12747
predicate
Indicates the goal or target outcome that a training process is designed to achieve.
All labels observed (13)
| Label | Occurrences |
|---|---|
| trainingObjective canonical | 84 |
| optimizationObjective | 19 |
| trainingGoal | 12 |
| lossFunction | 10 |
| hasTrainingObjective | 8 |
| usesTrainingObjective | 8 |
| pretrainingObjective | 6 |
| learningObjective | 5 |
| trainingTarget | 5 |
| VAEObjective | 1 |
| goalOfTraining | 1 |
| supportsTrainingObjective | 1 |
| trainingCriterion | 1 |
Description generation (PDg)
The one-sentence description above was generated by prompting gpt-5.1 with the predicate name and this instruction.
Instruction
Given a predicate that represents a relationship or action between entities, generate a one-sentence description explaining its meaning. # Instructions Focus on describing the relationship, not the entities themselves. # Response Format Begin the description with \' Indicates...\'
Input
Predicate: trainingObjective
Generated description
Indicates the goal or target outcome that a training process is designed to achieve.
Sample triples (161)
| Subject | Object |
|---|---|
| Naval Special Warfare training continuum | selection of suitable candidates ⓘ |
| Naval Special Warfare training continuum | development of core special operations skills ⓘ |
| Naval Special Warfare training continuum | advanced tactical proficiency ⓘ |
| Naval Special Warfare training continuum | operational readiness for combat deployments ⓘ |
| Naval Special Warfare training continuum | physical conditioning ⓘ |
| Naval Special Warfare training continuum | mental resilience ⓘ |
| Naval Special Warfare training continuum | leadership development ⓘ |
| Naval Special Warfare training continuum | team cohesion ⓘ |
| Nicholas Engineering Academy | officers of engineering troops via predicate surface "trainingTarget" ⓘ |
| Nicholas Engineering Academy | technical officers via predicate surface "trainingTarget" ⓘ |
| Turkey under-19 national football team | identify talent for higher national teams ⓘ |
| Turkey under-19 national football team | provide international experience to young players ⓘ |
| DETR | bipartite matching loss ⓘ |
| DETR | L1 bounding box regression loss ⓘ |
| DETR | generalized IoU loss ⓘ |
| DETR | cross-entropy classification loss ⓘ |
| Transformer-XL | autoregressive language modeling ⓘ |
| Glow | maximum likelihood estimation via predicate surface "hasTrainingObjective" ⓘ |
| Differentiable Neural Computers | task-specific loss function via predicate surface "optimizationObjective" ⓘ |
|
neural fitted Q-iteration (NFQ)
surface form:
Neural Fitted Q-Iteration
|
minimize temporal-difference error over batch via predicate surface "optimizationObjective" ⓘ |
| Padawan | become Jedi Knight via predicate surface "goalOfTraining" ⓘ |
| Row LSTM | maximum likelihood estimation of pixel distributions ⓘ |
| Tacotron | minimize reconstruction loss on mel-spectrograms ⓘ |
| VQ-VAE | reconstruction error minimization via predicate surface "usesTrainingObjective" ⓘ |
| VQ-VAE | codebook vector quantization via predicate surface "usesTrainingObjective" ⓘ |
| VQ-VAE | commitment loss regularization via predicate surface "usesTrainingObjective" ⓘ |
| Neural Discrete Representation Learning | reconstruction loss via predicate surface "lossFunction" ⓘ |
| Neural Discrete Representation Learning | codebook loss via predicate surface "lossFunction" ⓘ |
| Neural Discrete Representation Learning | commitment loss via predicate surface "lossFunction" ⓘ |
|
Helicopter Training Squadron 18 (HT-18)
surface form:
Helicopter Training Squadron 18
|
qualify students as helicopter pilots ⓘ |
|
Helicopter Training Squadron 18 (HT-18)
surface form:
Helicopter Training Squadron 18
|
qualify students as helicopter aircrew ⓘ |
| Embeddings from Language Models | language modeling ⓘ |
| Social and Engineering Systems PhD | train researchers to analyze complex societal challenges via predicate surface "trainingGoal" ⓘ |
| Social and Engineering Systems PhD | prepare students for academic careers via predicate surface "trainingGoal" ⓘ |
| Social and Engineering Systems PhD | prepare students for policy and industry research careers via predicate surface "trainingGoal" ⓘ |
| AEVB | maximization of ELBO ⓘ |
| Romanian national gymnastics team | preparation for Olympic Games ⓘ |
| Romanian national gymnastics team | preparation for World Championships ⓘ |
| Romanian national gymnastics team | preparation for European Championships ⓘ |
| Board and Search School | safe conduct of boarding operations ⓘ |
| Board and Search School | effective search of vessels ⓘ |
| Board and Search School | maintenance of security during maritime operations ⓘ |
| AmoebaNet | validation accuracy via predicate surface "optimizationObjective" ⓘ |
| DARTS | minimize training loss with respect to network weights ⓘ |
| LRCN | minimize prediction loss over sequences ⓘ |
| Paragraph Vector | predicting context words via predicate surface "usesTrainingObjective" ⓘ |
| Paragraph Vector | predicting target words via predicate surface "usesTrainingObjective" ⓘ |
| Paragraph Vector | predicting words from paragraph id via predicate surface "usesTrainingObjective" ⓘ |
| PV-DM | predict words using context and document vectors ⓘ |
| Neural Machine Translation by Jointly Learning to Align and Translate | negative log-likelihood of target sentences via predicate surface "lossFunction" ⓘ |