Add to ORKGWhile most approaches to similarity assessment are oblivious of knowledge and goals, there is ample evidence that these elements of problem solving play an important role in similarity judgements. This paper is concerned with an approach for integrating assessment of similarity into a framework of problem solving that embodies central notions of problem solving like goals, knowledge and learning
The finding that the typicality gradient in goal-derived categories is mainly driven by ideals rathe...
2018-10-30Measuring similarity between any two entities is an essential component in most machine le...
Abstract. In this work we propose a novel framework for learning a (dis)similarity function. We cast...
While most approaches to similarity assessment are oblivious of knowledge and goals, there is ample ...
The question of What makes things seem similar? is important both because of similarity's pivotal ro...
An experiment examined the effect of comparing the solution procedures of algebra word problems duri...
Humans are known to classify objects based on its similarity to previously encountered objects. Simi...
Similarity is a fundamental concept within Cognitive Science. It is routinely invoked in the explana...
Case-based problem solving can be significantly improved by applying domain knowledge (in opposition...
Vital to the success of many machine learning tasks is the ability to reason about how objects relat...
Similarity underlies fundamental cognitive capabilities such as memory, categorization, decision mak...
Case-based problem-solving systems rely on similarity assessment to select stored cases whose solut...
Similarity-based and rule-based accounts of cognition are often portrayed as opposing accounts. In ...
This study investigates similarity judgments from two angles. First, we look at models suggested in ...
This paper describes a conceptual scheme for classifying conceptual situations from the viewpoint of...
The finding that the typicality gradient in goal-derived categories is mainly driven by ideals rathe...
2018-10-30Measuring similarity between any two entities is an essential component in most machine le...
Abstract. In this work we propose a novel framework for learning a (dis)similarity function. We cast...
While most approaches to similarity assessment are oblivious of knowledge and goals, there is ample ...
The question of What makes things seem similar? is important both because of similarity's pivotal ro...
An experiment examined the effect of comparing the solution procedures of algebra word problems duri...
Humans are known to classify objects based on its similarity to previously encountered objects. Simi...
Similarity is a fundamental concept within Cognitive Science. It is routinely invoked in the explana...
Case-based problem solving can be significantly improved by applying domain knowledge (in opposition...
Vital to the success of many machine learning tasks is the ability to reason about how objects relat...
Similarity underlies fundamental cognitive capabilities such as memory, categorization, decision mak...
Case-based problem-solving systems rely on similarity assessment to select stored cases whose solut...
Similarity-based and rule-based accounts of cognition are often portrayed as opposing accounts. In ...
This study investigates similarity judgments from two angles. First, we look at models suggested in ...
This paper describes a conceptual scheme for classifying conceptual situations from the viewpoint of...
The finding that the typicality gradient in goal-derived categories is mainly driven by ideals rathe...
2018-10-30Measuring similarity between any two entities is an essential component in most machine le...
Abstract. In this work we propose a novel framework for learning a (dis)similarity function. We cast...