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» On the Complexity of Function Learning
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NC
2007
123views Neural Networks» more  NC 2007»
15 years 3 months ago
The complexity of latching transitions in large scale cortical networks
Abstract. We study latching dynamics, i.e. the ability of a network to hop spontaneously from one discrete attractor state to another, which has been proposed as a model of an inï¬...
Emilio Kropff, Alessandro Treves
TCS
2011
14 years 10 months ago
Realizability models and implicit complexity
New, simple, proofs of soundness (every representable function lies in a given complexity class) for Elementary Affine Logic, LFPL and Soft Affine Logic are presented. The proofs ...
Ugo Dal Lago, Martin Hofmann
TWC
2010
14 years 10 months ago
A Reduced-Complexity PTS-Based PAPR Reduction Scheme for OFDM Systems
In this paper, a reduced-complexity partial transmit sequences (PTS) scheme is proposed to resolve the intrinsic high peak-to-average power ratio (PAPR) problem of orthogonal frequ...
Sheng-Ju Ku, Chin-Liang Wang, Chiuan-Hsu Chen
156
Voted
TWC
2010
14 years 10 months ago
Reduced-Complexity Joint Baseband Compensation of Phase Noise and I/Q Imbalance for MIMO-OFDM Systems
The maximum likelihood estimate of the impulse response of a frequency-selective channel in the presence of phase noise and I/Q imbalance is derived. The complexity of the joint es...
Rabie Rabiei, Won Namgoong, Naofal Al-Dhahir
119
Voted
FOCS
2009
IEEE
15 years 10 months ago
A Complete Characterization of Statistical Query Learning with Applications to Evolvability
Statistical query (SQ) learning model of Kearns is a natural restriction of the PAC learning model in which a learning algorithm is allowed to obtain estimates of statistical prop...
Vitaly Feldman