BEAM SEARCH(定向搜索解码器) 在贪婪解码器中,我们在每一步都考虑一个字。如果我们可以在每一步跟踪多个单词并使用它们来生成多个假设会怎样呢? 这正是定向搜索算法所做的,我们定义了每一步需要保留多少个单词(k)。该算法跟踪k个单词及其得分,每个单词都是从之前得分最高的k个单词中获得种子。分数是由到目前为止...
In this heuristic search, the initial structure and the allowed operators must be defined. In our experience, BN reconstruction can be somewhat sensitive with respect to the choice of initial stage. The three allowed operators usually are: (1) Add an edge, (2) Remove an edge, and (3) ...
enc_inputs,enc_self_attn_mask):# enc_inputs: [batch_size, src_len, d_model]# 输入3个enc_inputs分别与W_q、W_k、W_v相乘得到Q、K、V # enc_self_
"num_beams": 1, "do_sample": False, # "penalty_alpha":0.6, # "top_k":4,...
Beam search搜索策略是贪心策略和穷举策略的一个折中方案，它在预测的每一步，都保留Top-k高概率的词，...
那可以看出,Beam Search算法还是很不错的,他得到的结果是近似的最优解,如果target sequence词汇表 特别大的话,他的计算复杂度也不会太大,所以效率上Viterbi算法和贪心算法要高的很多。 b Beam Seach在Seq2Seq模型中的应用 解码器相当于是一个LSTM网络,那么Viterbi算法在解码器部分,相当于每一步都需要计算出所有的...
贪婪搜索是在每个时间步中选择概率最高的单词,也是我们最常用的一种方法,Beam Search不取每个标记本身的绝对概率,而是考虑每个标记的所有可能扩展。然后根据其对数概率选择最合适的标记序列。 例如令牌的概率如下所示: 例如,Pancakes + looks时间段1的概率等效于: ...
beam search Core idea :On each step of decoder, keep track of the k most probable partial translations (which we call hypotheses), wherekkis the beam size (in practice around 5 to 10) A hypothesisy1,⋯,yt⋯has a score which is its log probability: ...
Parameters of the constructor of theWordBeamSearchclass: Beam Width (beam_width): number of beams which are kept per time-step Scoring mode (lm_type): pass one of the four strings (not case-sensitive). The runtime with respect to the dictionary size W is given. ...
The priority beam search algorithms are much faster, and can therefore be used for the largest instances.Scope and purposeWe consider the single machine weighted tardiness scheduling problem with sequence-dependent setups. In the current competitive environment, it is important that companies meet the...