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An overview of distance and similarity functions for structured data
The notions of distance and similarity play a key role in many machine learning approaches,
and artificial intelligence in general, since they can serve as an organizing principle by …
and artificial intelligence in general, since they can serve as an organizing principle by …
[كتاب][B] An introduction to information retrieval
CD Manning - 2009 - edl.emi.gov.et
As recently as the 1990s, studies showed that most people preferred getting information
from other people rather than from information retrieval systems. Of course, in that time …
from other people rather than from information retrieval systems. Of course, in that time …
[كتاب][B] Introduction to information retrieval
H Schütze, CD Manning, P Raghavan - 2008 - cs.hacettepe.edu.tr
Introduction to Information Retrieval ` `%%%`#`&12_`__~~~ alse [0.5cm] IIR 19: Web Search
Page 1 Recap Big picture Ads Duplicate detection Spam Web IR Size of the web Introduction …
Page 1 Recap Big picture Ads Duplicate detection Spam Web IR Size of the web Introduction …
Graph matching and learning in pattern recognition in the last 10 years
In this paper, we examine the main advances registered in the last ten years in Pattern
Recognition methodologies based on graph matching and related techniques, analyzing …
Recognition methodologies based on graph matching and related techniques, analyzing …
Question classification using support vector machines
Question classification is very important for question answering. This paper presents our
research work on automatic question classification through machine learning approaches …
research work on automatic question classification through machine learning approaches …
A survey of kernels for structured data
Kernel methods in general and support vector machines in particular have been successful
in various learning tasks on data represented in a single table. Much'real-world'data …
in various learning tasks on data represented in a single table. Much'real-world'data …
Naive Bayesian classification of structured data
In this paper we present 1BC and 1BC2, two systems that perform naive Bayesian
classification of structured individuals. The approach of 1BC is to project the individuals …
classification of structured individuals. The approach of 1BC is to project the individuals …
Relational reinforcement learning
Relational reinforcement learning is presented, a learning technique that combines
reinforcement learning with relational learning or inductive logic programming. Due to the …
reinforcement learning with relational learning or inductive logic programming. Due to the …
A long trip in the charming world of graphs for pattern recognition
This paper is a historical overview of graph-based methodologies in Pattern Recognition in
the last 40 years; history is interpreted with the aim of recognizing the rationale inspiring the …
the last 40 years; history is interpreted with the aim of recognizing the rationale inspiring the …
Brain–computer evolutionary multiobjective optimization: A genetic algorithm adapting to the decision maker
The centrality of the decision maker (DM) is widely recognized in the multiple criteria
decision-making community. This translates into emphasis on seamless human-computer …
decision-making community. This translates into emphasis on seamless human-computer …