'Higher probability' presentation slideshows

Language Modeling

1.02k views • 88 slides

Language Modeling

1.77k views • 88 slides

Language Modeling for ASR

Language Modeling for ASR. Andreas Stolcke Microsoft and ICSI (based on slides from Dan Jurafsky at Stanford). Outline. What is language modeling Noisy channel and its applications The 99%: N-gram modeling and smoothing The 1%: Cache LMs Parsing-based LMs Discriminative LMs

956 views • 71 slides

NC Public Health Nurse Mentoring Orientation materials

NC Public Health Nurse Mentoring Orientation materials. Background. Retention problems exist in all of nursing but are particularly problematic in public health Nurses entering governmental public health nursing positions appear to have knowledge deficiencies in areas such as:

1.28k views • 66 slides

Statistical Machine Translation

Statistical Machine Translation. Mohammad Taher Pilevar University of Tehran Winter 2010. Machine Translation?.

632 views • 47 slides

Environmental Hazards and Human Health

Environmental Hazards and Human Health. Chapter 17. Some Definitions. Environment: combination of physical, chemical, biological, cultural, and personal choice factors

682 views • 44 slides

Bayesian models as a tool for revealing inductive biases

Bayesian models as a tool for revealing inductive biases. Tom Griffiths University of California, Berkeley. Learning languages from utterances. blicket toma dax wug blicket wug. S ? X Y X ? {blicket,dax} Y ? {toma, wug}. Learning functions from ( x , y ) pairs.

573 views • 44 slides

A Bayesian approach to word segmentation: Theoretical and experimental results

A Bayesian approach to word segmentation: Theoretical and experimental results. Sharon Goldwater Department of Linguistics Stanford University. Word segmentation. One of the first problems infants must solve when learning language. Infants make use of many different cues.

542 views • 42 slides

Priming the Pump or the Sieve: Institutional Contexts and URM STEM Degree Attainments

Priming the Pump or the Sieve: Institutional Contexts and URM STEM Degree Attainments. Sylvia Hurtado Kevin Eagan Bryce Hughes Higher Education Research Institute, UCLA.

368 views • 26 slides

DATA

357 views • 24 slides

Search Engines

244 views • 18 slides

ETSU @ John Cabot University ROME

ETSU @ John Cabot University ROME. Making the case. Georgia University System 10-year study of academic outcomes of students who study abroad findings: Improved academic performance upon returning home Average GPA of 3.24 improved to 3.30

338 views • 17 slides

A probabilistic view of the Madden-Julian Oscillation Charles Jones Leila Carvalho University of California Santa Ba

A probabilistic view of the Madden-Julian Oscillation Charles Jones Leila Carvalho University of California Santa Barbara. MJO Variability 1948-2007. Mean= ~3.8 MJOs/year. MJO identified with NN reanalysis. ~ 4.5 MJOs / year. ~ 3 MJOs / year. Change Point.

292 views • 16 slides

Soulcalibur 534

246 views • 14 slides

493 views • 12 slides

Youth Unemployment in the UK

Youth Unemployment in the UK. David Bell Stirling Management School University of Stirling. The International Picture. The Picture Through Time. Increase in Relative Youth Unemployment Started Before Recession. Both supply and demand factors?.

281 views • 11 slides

Reactions to Stress

Reactions to Stress. Chapter 15 Section 2. I. Stress Reactions. A. Physical, Psychological or behavioral B. Human body is holistic 1. Integrated organism 2. Physical well being affects how we think and behave 3. poor mental health can cause physical or psychological illness.

335 views • 10 slides

Population Growth and the Environment: A Neoclassical View

373 views • 10 slides

SCORING THE CTS, AND CROSS TABULATION USING ANSWER SHEETS

SCORING THE CTS, AND CROSS TABULATION USING ANSWER SHEETS. Illustrates Individual level Research Lab Projects Will Use “macro” or societal level method The Research Question Is having experienced corporal punishment by parents related to a higher probability of hitting a dating partner?

210 views • 10 slides

Can knowledge of ethnic origin classes improve pronunciation accuracy of foreign proper names?

Can knowledge of ethnic origin classes improve pronunciation accuracy of foreign proper names? Ariadna Font Llitjos Advisor: Dr. Alan Black. Introduction and motivation. Danish, Dutch, Estonian, Hebrew, Italian, Malaysian, Norwegian, Portuguese, Serbian, Slovenian, Swedish, Turkish,

159 views • 1 slides