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COLT
1994
Springer
15 years 1 months ago
Learning Probabilistic Automata with Variable Memory Length
We propose and analyze a distribution learning algorithm for variable memory length Markov processes. These processes can be described by a subclass of probabilistic nite automata...
Dana Ron, Yoram Singer, Naftali Tishby
ICML
2007
IEEE
15 years 10 months ago
Comparisons of sequence labeling algorithms and extensions
In this paper, we survey the current state-ofart models for structured learning problems, including Hidden Markov Model (HMM), Conditional Random Fields (CRF), Averaged Perceptron...
Nam Nguyen, Yunsong Guo
ITS
2004
Springer
155views Multimedia» more  ITS 2004»
15 years 3 months ago
Modeling the Development of Problem Solving Skills in Chemistry with a Web-Based Tutor
This research describes a probabilistic approach for developing predictive models of how students learn problem-solving skills in general qualitative chemistry. The goal is to use ...
Ron Stevens, Amy Soller, Melanie Cooper, Marcia Sp...
KBSE
2009
IEEE
15 years 4 months ago
Code Completion from Abbreviated Input
—Abbreviation Completion is a novel technique to improve the efficiency of code-writing by supporting code completion of multiple keywords based on non-predefined abbreviated inp...
Sangmok Han, David R. Wallace, Robert C. Miller
WIDM
2004
ACM
15 years 3 months ago
Probabilistic models for focused web crawling
A Focused crawler must use information gleaned from previously crawled page sequences to estimate the relevance of a newly seen URL. Therefore, good performance depends on powerfu...
Hongyu Liu, Evangelos E. Milios, Jeannette Janssen