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ACL
1994
15 years 7 months ago
A Markov Language Learning Model for Finite Parameter Spaces
This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
Partha Niyogi, Robert C. Berwick
SIGECOM
2011
ACM
320views ECommerce» more  SIGECOM 2011»
14 years 9 months ago
Market making and mean reversion
Market making refers broadly to trading strategies that seek to profit by providing liquidity to other traders, while avoiding accumulating a large net position in a stock. In th...
Tanmoy Chakraborty, Michael Kearns
ECCV
2002
Springer
16 years 7 months ago
Using Robust Estimation Algorithms for Tracking Explicit Curves
The context of this work is lateral vehicle control using a camera as a sensor. A natural tool for controlling a vehicle is recursive filtering. The well-known Kalman fil...
Jean-Philippe Tarel, Sio-Song Ieng, Pierre Charbon...
STOC
2009
ACM
133views Algorithms» more  STOC 2009»
16 years 7 months ago
Near-perfect load balancing by randomized rounding
We consider and analyze a new algorithm for balancing indivisible loads on a distributed network with n processors. The aim is minimizing the discrepancy between the maximum and m...
Tobias Friedrich, Thomas Sauerwald
CAV
2009
Springer
181views Hardware» more  CAV 2009»
16 years 7 months ago
Size-Change Termination, Monotonicity Constraints and Ranking Functions
Abstract. Size-change termination involves deducing program termination based on the impossibility of infinite descent. To this end we may use m abstraction in which transitions ar...
Amir M. Ben-Amram