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Prototype-Driven Learning for Sequence Models

Prototype-Driven Learning for Sequence Models. Aria Haghighi and Dan Klein Computer Science Division University of California Berkeley. Overview. Target Label. Prototypes. Target Label. Prototypes. Annotated Data. Unlabeled Data. Prototype List. +.

523 views • 39 slides

DCM for Time-Frequency

DCM for Time-Frequency. 1. DCM for Induced Responses 2. DCM for Phase Coupling. Bernadette van Wijk. Dynamic Causal Models. Physiological. Phenomenological. Neurophysiological model. Models a particular data feature. Phase. inhibitory interneurons. Frequency. spiny stellate cells.

577 views • 37 slides

DCM for Time-Frequency

DCM for Time-Frequency. 1. DCM for Induced Responses 2. DCM for Phase Coupling. Bernadette van Wijk. Dynamic Causal Models. Physiological. Phenomenological. Neurophysiological model. Models a particular data feature. Phase. inhibitory interneurons. Frequency. spiny stellate cells.

525 views • 37 slides

DCM for Time-Frequency

DCM for Time-Frequency. DCM for Induced Responses DCM for Phase Coupling. Bernadette van Wijk. Dynamic causal models. Physiological. Phenomenological. Neurophysiological model. Models a particular data feature. Phase. inhibitory interneurons. Frequency. spiny stellate cells. Time.

537 views • 36 slides

SuperKEKB B factory

SuperKEKB B factory. April 12, 2006 FPCP@Vancouver Nobu Katayama (KEK). Outline. Physics cases at Super KEKB Accelerator parameters and R&D status Detector R&D status. Super KEKB.

558 views • 36 slides

Hidden Markov Models (HMMs)

Hidden Markov Models (HMMs). Probabilistic Automata Ubiquitous in Speech/Speaker Recognition/Verification Suitable for modelling phenomena which are dynamic in nature Can be used for handwriting, keystroke biometrics. Classification with Static Features. Simpler than dynamic problem

543 views • 35 slides

Lesson #2 Asymmetry measurements and global fit

Standard Model. Lesson #2 Asymmetry measurements and global fit. f. e -. e +. ?. Asymmetric term. _. f. Backward. Forward. Forward-backward asymmetries. e +. e +. g( s). Z(s). e -. e -. Dominant terms. G 1 (s) G 3 (s). G 1 (s) G 3 (s).

446 views • 33 slides

Lesson #2 Asymmetry measurements and global fit

Standard Model. Lesson #2 Asymmetry measurements and global fit. f. e -. e +. ?. Asymmetric term. _. f. Backward. Forward. Forward-backward asymmetries. e +. e +. g( s). Z(s). e -. e -. Dominant terms. G 1 (s) G 3 (s). G 1 (s) G 3 (s).

401 views • 31 slides

Lesson #2 Asymmetry measurements and global fit

Standard Model. Lesson #2 Asymmetry measurements and global fit. f. e -. e +. ?. Asymmetric term. _. f. Backward. Forward. Forward-backward asymmetries. e +. e +. g( s). Z(s). e -. e -. Dominant terms. G 1 (s) G 3 (s). G 1 (s) G 3 (s).

430 views • 30 slides

Grouping Words

Grouping Words. Linguistic Objects in this Course. Trees (with strings at the nodes) Syntax, semantics Algorithms: Generation, parsing, inside-outside, build semantics Sequences (of strings) n-grams, tag sequences morpheme sequences, phoneme sequences

380 views • 27 slides

Wehrli/Geosystem vingeo

429 views • 27 slides

YOGA FOR EVERYDAY LIFE

397 views • 22 slides

Prosodic measurements and question types in the Spontal corpus of Swedish dialogues

348 views • 19 slides

Multiparameter Fits in tt Threshold Scan

Multiparameter Fits in tt Threshold Scan. Manel Martinez, IFAE (Barcelona) Ramon Miquel, LBNL (Berkeley) Introduction. The top threshold scan m t and a s The top width The top Yukawa coupling Conclusions. Introduction. The Top Threshold Scan (1).

278 views • 14 slides

Skeletal System Chapter 45.2

Skeletal System Chapter 45.2. The Skeleton. Main functions: rigid framework for support, protection, allowing bodily movement, producing blood, and storing minerals. Contains approx. 206 bones. The human skeleton is divided into two parts: 1. axial (skull, ribs, spine, sternum)

313 views • 14 slides

TRACK AND FIELD SPRINTING

TRACK AND FIELD SPRINTING. Drive phase or (the start). What is sprinting . Sprinting, in athletics ( track and field ), is a footrace over's a short distance with an all-out or nearly all-out burst of speed. . SPRINT EVENTS FOR. INDOOR. OUTDOOR. 60 meters 200 meters 400 meters

2.24k views • 11 slides

BONES

BONES. The Skeleton. -Contains approx. 206 bones. -Main function: rigid framework for support, protection, and storage. -The human skeleton is divided into two parts: 1. axial (skull, ribs, spine, sternum) 2. appendicular (everything else). Bone Structure.

298 views • 11 slides

436 views • 10 slides

Principles to Support Usability - Robustness

Principles to Support Usability - Robustness. Group 3 Topic 2 IM2044 Usability Engineering . Student ID: 0422902 0409543. What is it?. The level of support provided the user in determining successful achievement and assessment of goal directed behavior.

249 views • 7 slides

Group Key Management for PIM-SM Routers

Group Key Management for PIM-SM Routers. J.W. Atwood, Salekul Islam Concordia University supplement to draft-ietf-pim-sm-linklocal-00. Multicast groups formed by PIM routers. PIM routers will form a large number of small SSM groups

192 views • 7 slides