«ranking model»
۳۵٬۰۹۵ نتیجهUnifying Low-Rank Models for Visual Learning
Many problems in signal processing, machine learning and computer vision can be solved by learning low rank models from data. In computer vision, problems such as rigid structure from motion have been formulated as an optimization over subspaces with fixed rank. These hard -rank
Reduced rank models for contingency tables
In recent years much attention has been given to models for two-way contingency tables that can be formulated in terms of reduced rank of a matrix with probabilities. A well-known reduced rank model is the independence model, where the rank is one. For rank higher than one distin
A Phased Ranking Model for Information Systems
To effectively sort and present relevant information pieces (e.g., answers, passages, documents) to human users, information systems rely on ranking models. Existing ranking models are typically designed for a specific task and therefore are not effective for complex information
Data Mining and Knowledge Discovery STRUCTURING OF RANKED MODELS
Prognostic procedures can be based on ranked linear models. Ranked regression type models are designed on the basis of feature vectors combined with set of relations defined on selected pairs of these vectors. Feature vectors are composed of numerical results of measurements on p
A Latent Variable Ranking Model for Content-Based Retrieval
Since their introduction, ranking SVM models [11] have become a powerful tool for training content-based retrieval systems. All we need for training a model are retrieval examples in the form of triplet constraints, i.e. examples specifying that relative to some query, a database
A general framework for distance-based consensus in ordinal ranking models
The problem of aggregating a set of ordinal rankings of n alternatives has given rise to a number of consensus models. Among the most common of these models are those due to Borda and Kendall, which amount to using average ranks, and the /1 and /2 distance models. A common critic
QoRank: A query-dependent ranking model using LSE-based weighted multiple hyperplanes aggregation for information retrieval
Ranking is a core problem for information retrieval since the performance of the search system is directly impacted by the accuracy of ranking results. Ranking model construction has been the focus of both the fields of information retrieval and machine learning, and learning to
Ranking models for combination
A considerable amount of research has addressed the methods and objectives of model combination. Very little attention has been given to the question of how to obtain a good collection of models for combination. Here a rationale for inductive inference of multiple models of time
Design and Validation of a School Ranking Model in the Iraqi Educational System
Purpose: This study aimed to design and validate a comprehensive school ranking model for the Iraqi educational system to enhance educational quality through the identification of key performance indicators and ranking components. Methods and Materials: This research employed a q
Towards Building Ranking Models with Annual Reports
AbstrAct: The textual content of company annual reports has proven to contain predictive indicators for the company fu ture performance. This paper addresses the general re search question of evaluating the effectiveness of applying machine learning and text mining techniques to