Add to ORKGThis paper analyses the relation between the use of similarity in Memory-Based Learning and the notion of backed-off smoothing in statistical language modeling. We sho
The authors examine the role of similarity in artificial grammar learning (AGL; A. S. Reber, 1989). ...
2018-10-30Measuring similarity between any two entities is an essential component in most machine le...
The authors examine the role of similarity in artificial grammar learning (AGL; A. S. Reber, 1989). ...
This paper analyses the relation between the use of similarity in MemoryBased Learning and the notio...
In this paper, we improve our previously proposed Similarity Based Smoothing (SBS) algorithm. The id...
Abstract. A very recent topic in CBR research deals with the automated optimisation of similarity me...
In this paper, we improve our previously proposed Similarity Based Smoothing (SBS) algorithm. The id...
We present a tutorial introduction to n-gram models for language modeling and survey the most widely...
We study memory-based learning methods and show that they can be viewed as learning linear predictor...
245 pagesUnderstanding the computations involved in language acquisition is a central topic in cogni...
245 pagesUnderstanding the computations involved in language acquisition is a central topic in cogni...
International audienceSimilarity and distance functions are essential to many learning algorithms, t...
This paper reports three experiments that examine the role of similarity processing in McGeorge and ...
Many memory models assume that the semantic and physical features of words can be represented by col...
The authors examine the role of similarity in artificial grammar learning (AGL; A. S. Reber, 1989). ...
The authors examine the role of similarity in artificial grammar learning (AGL; A. S. Reber, 1989). ...
2018-10-30Measuring similarity between any two entities is an essential component in most machine le...
The authors examine the role of similarity in artificial grammar learning (AGL; A. S. Reber, 1989). ...
This paper analyses the relation between the use of similarity in MemoryBased Learning and the notio...
In this paper, we improve our previously proposed Similarity Based Smoothing (SBS) algorithm. The id...
Abstract. A very recent topic in CBR research deals with the automated optimisation of similarity me...
In this paper, we improve our previously proposed Similarity Based Smoothing (SBS) algorithm. The id...
We present a tutorial introduction to n-gram models for language modeling and survey the most widely...
We study memory-based learning methods and show that they can be viewed as learning linear predictor...
245 pagesUnderstanding the computations involved in language acquisition is a central topic in cogni...
245 pagesUnderstanding the computations involved in language acquisition is a central topic in cogni...
International audienceSimilarity and distance functions are essential to many learning algorithms, t...
This paper reports three experiments that examine the role of similarity processing in McGeorge and ...
Many memory models assume that the semantic and physical features of words can be represented by col...
The authors examine the role of similarity in artificial grammar learning (AGL; A. S. Reber, 1989). ...
The authors examine the role of similarity in artificial grammar learning (AGL; A. S. Reber, 1989). ...
2018-10-30Measuring similarity between any two entities is an essential component in most machine le...
The authors examine the role of similarity in artificial grammar learning (AGL; A. S. Reber, 1989). ...