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ECML
2007
Springer
14 years 3 months ago
Separating Precision and Mean in Dirichlet-Enhanced High-Order Markov Models
Abstract. Robustly estimating the state-transition probabilities of highorder Markov processes is an essential task in many applications such as natural language modeling or protei...
Rikiya Takahashi
WWW
2009
ACM
14 years 10 months ago
A dynamic bayesian network click model for web search ranking
As with any application of machine learning, web search ranking requires labeled data. The labels usually come in the form of relevance assessments made by editors. Click logs can...
Olivier Chapelle, Ya Zhang
ICDM
2003
IEEE
119views Data Mining» more  ICDM 2003»
14 years 2 months ago
A Dynamic Adaptive Self-Organising Hybrid Model for Text Clustering
Clustering by document concepts is a powerful way of retrieving information from a large number of documents. This task in general does not make any assumption on the data distrib...
Chihli Hung, Stefan Wermter
NPL
2007
109views more  NPL 2007»
13 years 8 months ago
Generative Modeling of Autonomous Robots and their Environments using Reservoir Computing
Autonomous mobile robots form an important research topic in the field of robotics due to their near-term applicability in the real world as domestic service robots. These robots ...
Eric A. Antonelo, Benjamin Schrauwen, Jan M. Van C...
ACMIDC
2009
14 years 1 months ago
Designing intergenerational mobile storytelling
Informal educational experiences with grandparents and other older adults can be an important component of childrens education, especially in circumstances where high quality educ...
Allison Druin, Benjamin B. Bederson, Alexander J. ...