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ACL
1994
15 years 8 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 10 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 8 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