We prove that a single threshold gate with arbitrary weights can be simulated by an explicit polynomial-size depth 2 majority circuit. In general we show that a polynomial-size, depth- d threshold circuit can be simulated uniformly by a polynomial-size majority circuit of depth d + 1. Goldmann, Hastad, and Razborov showed in [10] that a non-uniform simulation exists. Our construction answers two open questions posed in [10]: we give an explicit construction whereas [10] uses a randomized existence argument, and we show that such a simulation is possible even if the depth d grows with the number of variables n (the simulation in [10] gives polynomial-size circuits only when d is constant)
AbstractIn this paper we show that there is a close relationship between the energy complexity and t...
AbstractMotivated by the problem of understanding the limitations of threshold networks for represen...
We consider the class of constant depth AND/OR circuits augmented with a layer of modular counting g...
Abstract. In this paper we study small depth circuits that contain threshold gates (with or without ...
AbstractWe examine a powerful model of parallel computation: polynomial size threshold circuits of b...
We show how to exactly implement an n input threshold gate with arbitrary real weights by a circuit...
AbstractConstant-depth polynomial-size threshold circuits are usually classified according to their ...
Abstract—We initiate a systematic study of constant depth Boolean circuits built using exact thresho...
We examine the power of constant depth circuits with sigmoid (i.e. smooth) threshold gates for compu...
We show average-case lower bounds for explicit Boolean functions against bounded-depth threshold cir...
In this talk we will consider various classes defined by small depth polynomial size circuits which ...
We investigate the complexity of computations with constant-depth threshold circuits. Such circuits ...
NOTE: Text or symbols not renderable in plain ASCII are indicated by [...]. Abstract included in ....
AbstractWe investigate the computational power of depth-2 circuits consisting of MODr gates at the b...
We define a new structured and general model of computation: circuits using arbitrary fan- in arithm...
AbstractIn this paper we show that there is a close relationship between the energy complexity and t...
AbstractMotivated by the problem of understanding the limitations of threshold networks for represen...
We consider the class of constant depth AND/OR circuits augmented with a layer of modular counting g...
Abstract. In this paper we study small depth circuits that contain threshold gates (with or without ...
AbstractWe examine a powerful model of parallel computation: polynomial size threshold circuits of b...
We show how to exactly implement an n input threshold gate with arbitrary real weights by a circuit...
AbstractConstant-depth polynomial-size threshold circuits are usually classified according to their ...
Abstract—We initiate a systematic study of constant depth Boolean circuits built using exact thresho...
We examine the power of constant depth circuits with sigmoid (i.e. smooth) threshold gates for compu...
We show average-case lower bounds for explicit Boolean functions against bounded-depth threshold cir...
In this talk we will consider various classes defined by small depth polynomial size circuits which ...
We investigate the complexity of computations with constant-depth threshold circuits. Such circuits ...
NOTE: Text or symbols not renderable in plain ASCII are indicated by [...]. Abstract included in ....
AbstractWe investigate the computational power of depth-2 circuits consisting of MODr gates at the b...
We define a new structured and general model of computation: circuits using arbitrary fan- in arithm...
AbstractIn this paper we show that there is a close relationship between the energy complexity and t...
AbstractMotivated by the problem of understanding the limitations of threshold networks for represen...
We consider the class of constant depth AND/OR circuits augmented with a layer of modular counting g...