Evaluation Strategies for Learning Algorithms of Hierarchies
نویسندگان
چکیده
Several learning tasks comprise hierarchies. Comparison with a ”goldstandard” is often performed to evaluate the quality of a learned hierarchy. We assembled various similarity metrics that have been proposed in different disciplines and compared them in a unified interdisciplinary framework for hierarchical evaluation which is based on the distinction of three fundamental dimensions. Identifying deficiencies for measuring structural similarity, we suggest three new measures for this purpose, either extending existing ones or based on new ideas. Experiments with an artificial dataset were performed to compare the different measures. As shown by our results, the measures vary greatly in their properties.
منابع مشابه
Politeness Orientation in Social Hierarchies in Urdu
The present research is aimed at investigating how the politeness of the speakers of Urdu is influenced by their relative social status in society. The researcher took politeness theory of Brown and Levinson (1978, 1987) as a model. To observe politeness of Urdu speakers, speech act of apology with different strategies was selected. A Discourse Completion Task (DCT) was used as an instrument to...
متن کاملAn Improved Particle Swarm Optimizer Based on a Novel Class of Fast and Efficient Learning Factors Strategies
The particle swarm optimizer (PSO) is a population-based metaheuristic optimization method that can be applied to a wide range of problems but it has the drawbacks like it easily falls into local optima and suffers from slow convergence in the later stages. In order to solve these problems, improved PSO (IPSO) variants, have been proposed. To bring about a balance between the exploration and ex...
متن کاملBuilding a Concept Hierarchy from a Distance Matrix
Concept hierarchies are important in many generalized data mining applications, such as multiple level association rule mining. In literature, concept hierarchy is usually given by domain experts. In this paper, we propose algorithms to automatically build a concept hierarchy from a provided distance matrix. Our approach is modifying the traditional hierarchical clustering algorithms. For the p...
متن کاملThe Effect of a Learning and Study Skills Workshop on Talented Students’ Learning and Study Strategies in Isfahan University of Medical Sciences
Introduction: The significance of learning strategies used by students in their academic achievement has been argued. In this study, the effect of a study skills educational workshop on employing learning and study strategies by talented students of Isfahan University of Medical Sciences has been investigated. Methods: This quasi-experimental study was performed on 40 talented students of Isfa...
متن کاملLearning task hierarchies using statistical semantics and goal reasoning
This paper describes WORD2HTN, an algorithm for learning hierarchical tasks and goals from plan traces in planning domains. WORD2HTN combines semantic text analysis techniques and subgoal learning in order to generate Hierarchical Task Networks (HTNs). Unlike existing HTN learning algorithms, WORD2HTN learns distributed vector representations that represent the similarities and semantics of the...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2008