linear dynamical systems machine learning
Tài liệu Kalman Filtering and Neural Networks - Chapter 6: LEARNING NONLINEAR DYNAMICAL SYSTEMS USING THE EXPECTATION– MAXIMIZATION ALGORITHM doc
Ngày tải lên :
23/12/2013, 07:16
... LEARNING NONLINEAR DYNAMICAL SYSTEMS USING EM
We discuss separately two special cases of flows in manifolds: systems
with linear output functions but nonlinear dynamics, and systems with
linear dynamics ... stochastic
(non )linear dynamical systems (see text). (a) A Markov process embedded
in a manifold. (b) Nonlinear factor analysis through time.
208
6 LEARNING NONLINEAR DYNAMICAL SYSTEMS USING EM
... EM algorithm to learning nonlinear
dynamical systems, and is an extension of our earlier work [36]. Since
then, there has been similar work applying EM to nonlinear dynamical
systems [37, 38]....
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Báo cáo khoa học: Metabolomics, modelling and machine learning in systems biology – towards an understanding of the languages of cells potx
Ngày tải lên :
07/03/2014, 12:20
... Metabolomics, modelling and machine learning systems
FEBS Journal 273 (2006) 873894 ê 2006 The Author Journal compilation ê 2006 FEBS 893
profiling data using machine learning. Plant Physiol
126, ... biological systems. 2. Nonlinear
dielectric theory and free-energy transduction. Ferro-
electrics 86, 79–101.
157 Woodward AM & Kell DB (1990) On the nonlinear
dielectric properties of biological systems. ... Voit EO (2000) Computational Analysis of Biochemical
Systems. Cambridge University Press, Cambridge.
Metabolomics, modelling and machine learning systems D. B. Kell
884 FEBS Journal 273 (2006) 873894...
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Trí tuệ nhân tạo - Introduction to Machine Learning
Ngày tải lên :
14/11/2012, 13:46
... redesign of AI systems to conform to new
knowledge is impractical, but machine learning metho ds mightbe
able to trackmuchofit.
1.1.2 Wellsprings of Machine Learning
Workinmachine learning is nowconverging ... Advances in Neural Information Pro cess-
ing Systems
The Annual Workshops on Computational Learning Theory
The Annual International Workshops on Machine Learning
The Annual International Conferences ... ers (1,0) or of categorical variables
Introduction to Machine Learning
c
1996 Nils J. Nilsson. All rights reserved.
INTRODUCTION
TO
MACHINE LEARNING
AN EARLY DRAFT OF A PROPOSED
TEXTBOOK
Nils...
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Dynamical systems and fractals Computer graphics experiments in ascal
Ngày tải lên :
26/10/2013, 17:15
... rapidly, the larger is.
10
Dynamical Systems and
Figure 1.2-4 Tornado Convention.2
picture was christened by Prof. K. Kenkel of Dartmouth College.
18
Dynamical Systems and Fractals
2.1 First ... new formulations, in biology, physics,
32
Dynamical Systems and
wish.
Basically Program 2.1.1-l solves the ‘algorithmic heart’ of the problem. The
machine- specific components are discussed in ...
(* various actions to initia
such as etc.
28
Dynamical Systems and Fractals
S
I
U
Projection surface
Screen
S
Figure 2.1.1-1 Two coordinate systems.
coordinate system.
The following transformation...
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Tài liệu Stability and Control of Large-Scale Dynamical Systems pptx
Ngày tải lên :
12/02/2014, 16:20
... large-scale aerospace systems, power systems, communications sys-
tems, network systems, transportation systems, large-scale manufacturing
systems, integrative biological systems, economic systems, ecological ... flexible space structures, aerospace systems, electric power
systems, network systems, communications systems, transportation systems, economic
systems, and ecological systems, to cite but a few examples.
... Impulsive
Dynamical Systems 284
Chapter 12. Finite-Time Stabilization of Large-Scale Impulsive
Dynamical Systems 289
12.1 Introduction 289
12.2 Finite-Time Stability of Impulsive Dynamical Systems...
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Tài liệu Machine Learning Multimedia Content Analysis ppt
Ngày tải lên :
14/02/2014, 12:20
... otherwise notified, the term machine learning will be used to
denote inductive learning.
During the early days of machine learning research, computer scientists
developed learning algorithms based ... provides an overview of machine learning techniques and
shows the strong relevance between typical multimedia content analysis and
machine learning tasks. The overview of machine learning techniques ... have
aroused people’s enthusiasms in machine learning, and have led to a spate of
new machine learning text books. Noteworthily, among the ever growing list
of machine learning books, many of them attempt...
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Tài liệu Báo cáo khoa học: "Extracting Comparative Sentences from Korean Text Documents Using Comparative Lexical Patterns and Machine Learning Techniques" doc
Ngày tải lên :
20/02/2014, 09:20
... experiments by machine learn-
ing techniques with all the unigrams of total ac-
tual words as baseline systems; they do not use
any CKs. The precision, recall and F1-score of
the baseline systems ... more elements of the keyword
set is called a comparative-sentence candidate.
Finally, we use machine learning techniques to
eliminate non-comparative sentences from the
candidates. As a result, ... non-comparative sen-
tences from comparative sentence candidates
with a CKL2 keyword, we employ machine
learning techniques (MEM and Naïve Bayes).
For feature extraction from each comparative-
sentence...
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Tài liệu Báo cáo khoa học: "Trimming CFG Parse Trees for Sentence Compression Using Machine Learning Approaches" pptx
Ngày tải lên :
20/02/2014, 12:20
... to unsupervised learning to overcome the
lack of training data. However their model also
has the same problem. McDonald (McDonald,
2006) independently proposed a new machine
learning approach. ... Association for Computational Linguistics
Trimming CFG Parse Trees for Sentence Compression Using Machine
Learning Approaches
Yuya Unno
1
Takashi Ninomiya
2
Yusuke Miyao
1
Jun’ichi Tsujii
134
1
Department ... former problem, we apply a maxi-
mum entropy model to Knight and Marcu’s model
to introduce machine learning features that are de-
fined not only for CFG rules but also for other
characteristics...
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Tài liệu Báo cáo khoa học: "Machine Learning for Coreference Resolution: From Local Classification to Global Ranking" ppt
Ngày tải lên :
20/02/2014, 15:20
... select these learning- based
coreference systems and acquire the ranking model.
3.1 Selecting Coreference Systems
A learning- based coreference system can be defined
by four elements: the learning algorithm ... coref-
erence systems can potentially generate good can-
didate partitions. Given that machine learning ap-
proaches to the problem have been promising, our
choices will be guided by previous learning- based
coreference ... pages 104–111.
J. R. Quinlan. 1993. C4.5: Programs for Machine
Learning. Morgan Kaufmann.
W. M. Soon, H. T. Ng, and D. Lim. 2001. A machine
learning approach to coreference resolution of noun
phrases....
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Machine Learning: A Probabilistic Perspective pptx
Ngày tải lên :
06/03/2014, 03:20
... 1}. Based on a figure by Leslie Kaelbling.
1.2 Supervised learning
We begin our investigation of machine learning by discussing supervised learning, which is the
form of ML most widely used in practice.
1.2.1 ... Cataloging-in-Publication Information
Murphy, Kevin P.
Machine learning : a probabilistic perspective / Kevin P. Murphy.
p. cm. — (Adaptive computation and machine learning series)
Includes bibliographical ... Gaussian graphical models * 318
10.3 Inference 319
10.4 Learning 320
10.4.1 Plate notation 320
10.4.2 Learning from complete data 322
10.4.3 Learning with missing and/or latent variables 323
10.5...
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Báo cáo khoa học: "Paraphrase Recognition Using Machine Learning to Combine Similarity Measures" ppt
Ngày tải lên :
08/03/2014, 01:20
... 27–35,
Suntec, Singapore, 4 August 2009.
c
2009 ACL and AFNLP
Paraphrase Recognition Using Machine Learning to Combine Similarity
Measures
Prodromos Malakasiotis
Department of Informatics
Athens ... correspond
to machine translation evaluation metrics, rather
than string similarity measures, unlike our system.
We plan to examine further how the features of
Finch et al. and other ideas from machine ... INIT+WN+DEP uses ad-
ditional features that measure grammatical rela-
tion similarity. Supervised machine learning is
used to learn how to combine the resulting fea-
tures. We experimented with a Maximum...
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Báo cáo khoa học: "Using Machine-Learning to Assign Function Labels to Parser Output for Spanish" ppt
Ngày tải lên :
08/03/2014, 02:21
... LFG,
Bergen, Norway.
V. N. Vapnik. 1998. Statistical Learning Theory.
Wiley-Interscience, September.
143
Figure 3: Processing architecture for the machine-
learning- based method.
duce the number of category ... three generic machine
learning algorithms: a memory-based learner
(Daelemans and van den Bosch, 2005), a maxi-
mum entropy classifier (Berger et al., 1996) and a
Support Vector Machine classifier ... setting in the context of au-
tomatically acquiring LFG resources for Spanish
from Cast3LB. Machine- learning- based Cast3LB
tag assignment yields statistically-significantly
improved LFG f-structures...
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Báo cáo khoa học: "A Re-examination of Machine Learning Approaches for Sentence-Level MT Evaluation" ppt
Ngày tải lên :
08/03/2014, 02:21
... gen-
eralize to distant systems. The learning models for
both experiments use the full feature set.
Cross-Year Generalization To test how well the
learning- based metrics generalize to systems from
different ... produced by the same MT systems
that produced the training sentences. In later exper-
iments, we investigate generalizing to more distant
MT systems.
Figure 2(a) shows the learning curves for the ... Chinese
MT Evaluation (3 systems, 2634 sentences total),
NIST 2003 Arabic MT Evaluation (2 systems, 1326
sentences total), and NIST 2004 Chinese MT Evalu-
ation (10 systems, 4470 sentences total)....
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Báo cáo khoa học: "Extraction of definitions using grammar-enhanced machine learning" pdf
Ngày tải lên :
08/03/2014, 21:20
... investigate whether
combining a basic grammar with machine learning
can give better results than a sophisticated gram-
mar combined with machine learning. Because the
datasets will be more imbalanced ... combination of a rule-based
grammar and machine learning. We col-
lected a Dutch text corpus containing 549
definitions and applied a grammar on it.
Machine learning was then applied to im-
prove ... baseline grammars and machine learning
classifiers. In Proceedings of the Sixth International
Conference on Language Resources and Evaluation,
LREC 2008.
I. Fahmi and G. Bouma. 2006. Learning to iden-
tify...
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