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Presentations
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(1)Inference & Learning in Linear-Chain Conditional Random Fields (CRFs)
Anmol Dwivedi
•
3 years ago
Personal Information
Organization / Workplace
New York City, New York United States
Occupation
Researcher
Industry
Education
Website
anmold-07.github.io
About
Learning Forever.
Find the developed codes on -
https://github.com/anmold-07
Tags
machine learning
inference
probabilistic graphical models (pgms)
modeling
algorithms
pgms
coursera
graph theory
data structures
handwritten word recogintion
learning
random fields
graphical models
artificial intelligence
ieee 14 bus
power systems analysis
power flow
matlab
linear discriminant analysis
model attacks
attacks
adversary
security
defense
defense strategies
usenix security symposium
cloud
machine learning-as-a-service (mlaas)
reinforcement learning
linear regression
svms
decision trees
model extraction
trustworthy ml
active learning
matrix optimization
optimization
optimal design
data
dimensionality reduction
image segmentation
computer vision
probability theory
crfs
mrfs
markov
gibbs sampling
nlp
stanford
computer science
analytics
statistics
engineering
mathematics
information technology
dag
big data
efficient
dynamic programming
complexity
maximum likelihood
mpe
map
tutorial
belief propagation
bayesian networks
steady-state voltage stability analysis
ieeepes
iitd
pycharm
numpy
psse
cpf
matplotlib
networkx
visualization
python
voltage stability
signal processing
image processing
conditional random fields
simulated annealing
ai
opf
dimensionality reduction techniques
pattern recognition
generator protection
relays
protection schemes
loss of excitation
wound rotor induction generator
rotor resistance control
type-2
induction generator
wind
wind energy
synchrophasors
pmu
compactrio
national instruments
hardware
fourier transform
dft
electrical engineering
self improvement
team work
group presentation
listening
solar energy
See more