Knowledge Representation and Learning
Video Production as Knowledge Representation of Student Learning
... some learning outcomes, though little attention for studies has been paid in this ...a knowledge representation of their constructed knowledge throughout the ...students learning: ...
11
Shared & Unshared Knowledge Representation in Collaborative Learning
... the learning partners concerning knowledge application in the individual transfer ...content-specific representation, the divergence is similarly high in both collaboration ...content-unspecific ...
8
A generating technique and knowledge representation of multiple-answer problems for learning with solving knowledge
... describing knowledge regarding problem-solving areas in Prolog despite possessing sufficient knowledge of said ...problem-solving knowledge is required to operate SES and generate problems, in cases ...
21
An encapsulation for reasoning, learning, knowledge representation, and reconfiguration cognitive radio elements
... making and conclusionsformation abilities of this cognitive An implementation of a cognitive enti requires a radio design can use (or choose to ignore using the vari- highly-reconfigurab[r] ...
5
Interpretation of Natural-language Robot Instructions: Probabilistic Knowledge Representation, Learning, and Reasoning
... Based on these attributes, I explore the construction of probabilistic semantic models for object recognition in first-order probabilistic models, which can be used to identify objects th[r] ...
258
Accurate Text Enhanced Knowledge Graph Representation Learning
... text-enhanced knowledge representa- tion model, which can enhance the representations of entities and relations by incorporating accurate textual information for each ...the representation of a given ...
11
Knowledge Representation for
... Activity Analytics Episodic memories are very comprehensive and addi- tional tools for inspection are required. For illustra- tion, we pick one simple pick-and-place task performed by a robot and show how our visual ...
9
Knowledge representation and Reasoning
... • ”Learning from data” is popular today, but lacks aspects that were trivial in the pre-1980s systems (e.g. allow human programmer to easily communicate his/her knowledge to the system). a program has ...
49
Knowledge Representation (II)
... 2. When for a given space it is not possible to find the solution, there is a sub-goal which is analyzed in a space problem of greater depth. This tecnique provides a modularization of knowledge at different ...
16
A generative adversarial strategy for modeling relation paths in knowledge base representation learning
... B. Results Table 5 shows link prediction performances of the baseline, existing and proposed multi-hop relation learning models. The RNNs – trained for generating relation paths – are used as baseline models and ...
7
Knowledge representation and adaptive expertise
... domain knowledge while considering ...involves learning to quickly apply domain-specific strategies to a particular task, adaptive expertise is associated with the capacity to identify when certain ...
42
Multi-relational Representation Learning and Knowledge Acquisition
... of learning the dictionary models towards monolingual targets and retrieving cross-lingual related words incurs more impreciseness to the ...multi-task learning in two directions of a language pair, the ...
211
Event Representation Learning Enhanced with External Commonsense Knowledge
... commonsense knowledge, such as the intents and emotions of the event participants, which are useful for distinguish- ing event pairs when there are only subtle dif- ferences in their surface ...commonsense ...
10
Modeling Relation Paths for Representation Learning of Knowledge Bases
... path-based representation learning ...for representation learn- ing, and addresses two key challenges: (1) Since not all relation paths are reliable, we design a path-constraint resource allo- cation ...
10
Knowledge Extraction and Representation Learning for Music Recommendation and Classification
... online knowledge repositories via entity linking, and on the auto- mated construction of music knowledge bases via relation ...extracted knowledge may impact recommender systems, classification ...
203
Leveraging Web Semantic Knowledge in Word Representation Learning
... Joint learning models. Many joint learning models intro- duce semantic lexicons or linguistic structures as additional constraints to the representation learning models (Liu et ...joint ...
8
Lifelong Knowledge-Enriched Social Event Representation Learning
... on learning event representations often focuses on construing syntactic and semantic informa- tion from ...a representation learning frame- work to directly address these shortcomings by integrating ...
12
Representation Learning with Ordered Relation Paths for Knowledge Graph Completion
... Incompleteness is a common problem for ex- isting knowledge graphs (KGs), and the com- pletion of KG which aims to predict links be- tween entities is challenging. Most existing KG completion methods only consider ...
10
Multi-view Representation Learning for Unifying Languages, Knowledge and Vision
... tured knowledge and as a visual embodiment like ...data-driven learning and intelligent content ...data-driven learning (i.e., machine learning) is by solving tasks separately for the single ...
172
Representation Learning of Entities and Documents from Knowledge Base Descriptions
... Table 1: Results of the entity typing task. of Wikipedia entities. We used the entity representations trained using the code publicized by the authors 10 and the Wikipedia dump used to train the Skip-Gram-Wiki model. 11 ...
12