Sciweavers

2263 search results - page 27 / 453
» The Use of Functional and Logic Languages in Machine Learnin...
Sort
View
ICML
2005
IEEE
16 years 2 months ago
Active learning for Hidden Markov Models: objective functions and algorithms
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
Brigham Anderson, Andrew Moore
GLVLSI
1996
IEEE
145views VLSI» more  GLVLSI 1996»
15 years 5 months ago
Boolean Function Representation Using Parallel-Access Diagrams
Inthispaperweintroduceanondeterministiccounterpart to Reduced, Ordered Binary Decision Diagrams for the representation and manipulation of logic functions. ROBDDs are conceptually...
Valeria Bertacco, Maurizio Damiani
BCS
2008
15 years 2 months ago
A Customisable Multiprocessor for Application-Optimised Inductive Logic Programming
This paper describes a customisable processor designed to accelerate execution of inductive logic programming, targeting advanced field-programmable gate array (FPGA) technology. ...
Andreas Fidjeland, Wayne Luk, Stephen Muggleton
COLT
2004
Springer
15 years 6 months ago
Concentration Bounds for Unigrams Language Model
Abstract. We show several PAC-style concentration bounds for learning unigrams language model. One interesting quantity is the probability of all words appearing exactly k times in...
Evgeny Drukh, Yishay Mansour
IDEAL
2007
Springer
15 years 7 months ago
Discriminating Microbial Species Using Protein Sequence Properties and Machine Learning
Abstract. Much work has been done to identify species-specific proteins in sequenced genomes and hence to determine their function. We assumed that such proteins have specific ph...
Ali Al-Shahib, David Gilbert, Rainer Breitling